WO2013145328A1 - Notification method, notification program, and notification device - Google Patents

Notification method, notification program, and notification device Download PDF

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Publication number
WO2013145328A1
WO2013145328A1 PCT/JP2012/058759 JP2012058759W WO2013145328A1 WO 2013145328 A1 WO2013145328 A1 WO 2013145328A1 JP 2012058759 W JP2012058759 W JP 2012058759W WO 2013145328 A1 WO2013145328 A1 WO 2013145328A1
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WO
WIPO (PCT)
Prior art keywords
livestock
disease
measurement result
time
occurring
Prior art date
Application number
PCT/JP2012/058759
Other languages
French (fr)
Japanese (ja)
Inventor
哲也 内野
敏実 元島
金森 昭人
光久 稲永
勝吉 渡邊
山野 大偉治
Original Assignee
富士通株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 富士通株式会社 filed Critical 富士通株式会社
Priority to PCT/JP2012/058759 priority Critical patent/WO2013145328A1/en
Priority to JP2014507303A priority patent/JP5846296B2/en
Priority to EP12872692.4A priority patent/EP2832216B1/en
Publication of WO2013145328A1 publication Critical patent/WO2013145328A1/en

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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00Other apparatus for animal husbandry
    • A01K29/005Monitoring or measuring activity, e.g. detecting heat or mating
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61DVETERINARY INSTRUMENTS, IMPLEMENTS, TOOLS, OR METHODS
    • A61D17/00Devices for indicating trouble during labour of animals ; Methods or instruments for detecting pregnancy-related states of animals
    • A61D17/002Devices for indicating trouble during labour of animals ; Methods or instruments for detecting pregnancy-related states of animals for detecting period of heat of animals, i.e. for detecting oestrus
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/40Animals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118Determining activity level
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Definitions

  • the present invention relates to a notification method, a notification program, and a notification device.
  • the conventional technique has a problem that the onset of the disease may not be detected depending on the measurement result of the number of steps in the past. For example, if the measurement result of the number of steps when the disease has already developed in the livestock is used as the measurement result of the previous number of steps, there will be a change even if the number of steps since the onset is compared with the current number of steps. In some cases, the onset of illness cannot be detected.
  • An object of the present invention is to provide a notification method, a notification program, and a notification device capable of supporting the discovery of diseased livestock in order to solve the above-described problems caused by the prior art.
  • the first time point when any livestock in the livestock group is confirmed to have developed, and the livestock has developed.
  • An onset corresponding to the name of the disease occurring in the received domestic animal, with reference to the first storage unit that stores the name of the disease and the onset period of the disease in association with each other.
  • a period is specified, and the first time point is selected from a second storage unit that stores a measurement result of the number of steps of other livestock different from the livestock in the livestock group for each time zone.
  • the measurement result of the other livestock in the first time zone including the second live time of the other livestock including the second time point that is at least the time of the onset period specified from the first time point.
  • Measurement results and the measurement results of the other livestock in the acquired first time zone. Based on the measurement result of the other livestock in the second time zone and a threshold value regarding the number of steps unique to the disease that develops in the livestock, And if it is determined that the disease occurring in the livestock is occurring in the other livestock, the disease name of the disease occurring in the livestock and the other livestock Proposed are a notification method, a notification program, and a notification device that output the identification information in association with each other.
  • FIG. 1 is an explanatory diagram showing an example of a notification method according to the present embodiment.
  • FIG. 2 is an explanatory diagram illustrating a system configuration example of the notification system 200.
  • FIG. 3 is a block diagram illustrating a hardware configuration example of the communication device 101.
  • FIG. 4 is a block diagram illustrating a hardware configuration example of the repeater 211.
  • FIG. 5 is a block diagram illustrating a hardware configuration example of the notification device 102 and the like.
  • FIG. 6 is an explanatory diagram showing an example of the stored contents of the measurement result information table 201.
  • FIG. 7 is an explanatory diagram showing an example of the contents stored in the step count information DB 202.
  • FIG. 8 is an explanatory diagram showing an example of the contents stored in the disease information DB 203.
  • FIG. 1 is an explanatory diagram showing an example of a notification method according to the present embodiment.
  • FIG. 2 is an explanatory diagram illustrating a system configuration example of the notification system 200.
  • FIG. 9 is an explanatory diagram showing an example of the contents stored in the worker information DB 204.
  • FIG. 10 is a block diagram illustrating a functional configuration example of the notification device 102.
  • FIG. 11 is an explanatory diagram illustrating an example of a screen displayed on the client device 230.
  • FIG. 12 is a flowchart illustrating an example of a communication processing procedure of the relay 211.
  • FIG. 13 is a flowchart (part 1) illustrating an example of a notification processing procedure of the notification device 102.
  • FIG. 14 is a flowchart (part 2) illustrating an example of a notification processing procedure of the notification device 102.
  • FIG. 15 is a flowchart illustrating an example of the disease determination processing procedure of the notification device 102.
  • FIG. 10 is a block diagram illustrating a functional configuration example of the notification device 102.
  • FIG. 11 is an explanatory diagram illustrating an example of a screen displayed on the client device 230.
  • FIG. 12 is a flowchar
  • FIG. 16 is a flowchart illustrating an example of a notification processing procedure of the client device 230.
  • FIG. 17 is an explanatory diagram showing an example of a comparison of behavior of livestock a that has been infected in the past and herd at that time.
  • FIG. 18 is an explanatory diagram showing an example of a comparison of the behavior of the current livestock A and the group to which the livestock A belongs.
  • FIG. 19 is a flowchart illustrating an example of a threshold setting process procedure performed by the notification device 102.
  • FIG. 20 is an explanatory diagram showing an example of the stored contents of the infection possibility DB 2001.
  • FIG. 21 is a flowchart illustrating an example of the illness possibility determination processing procedure performed by the notification device 102.
  • FIG. 1 is an explanatory diagram showing an example of a notification method according to the present embodiment.
  • livestock A is bred on the premises of a farm F managed by an operator.
  • Farm F is a facility having a grazing land for grazing livestock A.
  • the livestock A is an animal bred so as to be movable within the site of the farm F, for example, within the pasture of the farm F.
  • the livestock A can include animals that move by walking, such as cows, pigs, and horses.
  • a communication device 101 is attached to each of the livestock A1 to An.
  • the communication device 101 is a portable computer that measures the number of steps of the livestock A.
  • livestock A first sends out the right foot toward the ground in the movement direction during walking. When the right foot lands on the ground, the left foot is sent out toward the ground in the moving direction. Then, the livestock A repeats an operation such as sending out the right foot again when the left foot lands on the ground. That is, the number of steps of the livestock A can be the number of times the livestock A has sent the right foot or the left foot toward the ground in the moving direction.
  • onset when a disease develops in livestock A, the number of steps per unit time of livestock A increases or decreases compared to when healthy. Sickness refers to a condition in which the body or spirit of livestock A is upset or inconvenient. In addition, the onset of disease in livestock A is called onset.
  • the communication device 101 is a computer that can communicate with a plurality of relay devices provided on the premises of the farm F, and can communicate with the notification device 102 via the relay device.
  • the plurality of relay machines are installed at different positions in the farm F, and each form a communication area with a radius of 150 m, for example.
  • the communication device 101 transmits measurement result information indicating a measurement result and a communication device ID unique to the communication device 101 to any relay device capable of communication.
  • the notification device 102 is a computer having a display 103 and capable of receiving measurement result information and a communication device ID of the communication device 101 from the communication device 101 via a relay device.
  • the notification device 102 stores hourly measurement result information for a predetermined period for each communication device ID.
  • the notification device 102 determines whether or not the livestock A is sick using the measurement result information for each communication device ID.
  • the presence or absence of the disease is also confirmed using past measurement results for other cattle. Assume that you have determined. For example, if disease is confirmed in one animal by periodic checkup, etc., if the difference between the measurement result of the past health and the current measurement result is greater than or equal to a predetermined value, Suppose you decide that you are doing.
  • the measurement result of 4 days or more must be used as the measurement result at the time of health.
  • this measurement result is compared with the current measurement result using measurement results within three days, a difference greater than a predetermined value may not be derived, and it may be determined that the patient is not sick.
  • the distant past is compared with the current measurement result using, for example, the measurement result six months ago.
  • the environment may be different, such as the number of flocks, differences in topography and baits due to seasonal changes, and so there may be a large difference between past measurement results and current measurement results.
  • the difference more than a predetermined value is derived
  • livestock A is easily affected by livestock in the herd, and it may be difficult to grasp the signs of disease on the basis of past statistics that show a decreasing trend in the number of steps for each disease.
  • the livestock A (Ab) when the livestock A (Ab) is confirmed, the difference between the current number of steps of the other livestock A1 to An and the number of steps when going back from the present onset period of the same disease species is When the same value is reached, the onset of other livestock A1 to An is determined. As a result, it is possible to find other domestic animals A1 to An in which the disease of the same disease species as the diseased domestic animal Ab has developed. In addition, the average number of steps between the livestock A that became sick in the past and the group to which the livestock A belongs is compared, and it is possible that livestock A may have been infected due to the difference in the comparison results at the time of infection before the onset. You may notify before the onset of domestic animal A.
  • the communication device 101 transmits a communication device ID for identifying the livestock A and measurement result information representing the number of steps of the livestock A at predetermined transmission intervals via the relay device.
  • the predetermined transmission interval is, for example, 1 hour.
  • the notification device 102 When the notification device 102 receives the communication device ID and the measurement result information from the communication device 101, the notification device 102 stores the measurement result information of each time zone for each communication device ID.
  • the notification device 102 specifies the onset period of the disease name B1 and acquires information on the threshold value Hb regarding the number of steps unique to the disease name B1.
  • the onset period is a period from the onset of the disease of the disease name B1 to the cure. It is assumed that the disease does not continue to develop in the livestock A for a period longer than the onset period.
  • the threshold value Hb is a value for determining that the disease name is B1 from the measurement result of the number of steps.
  • the notification device 102 acquires a measurement result N2 of another domestic animal A (for example, A1) when the disease name B1 is onset, and a measurement result N1 of the domestic animal A1 when the disease is confirmed. For example, if the onset period of the disease name B1 is, for example, 7 days, and the time when the disease is confirmed is 11:50 on February 8, the notification device 102 will report 11 to 12 on February 1 of the livestock A1 that goes back 7 days. The measurement result N2 of the hour and the measurement result N1 of the livestock A1 from 11 to 12:00 on February 8 are acquired.
  • A1 another domestic animal A
  • the notification device 102 uses the acquired measurement results N1 and N2 and the threshold value Hb to determine whether or not the disease of the disease name B1 that has developed in the livestock Ab has developed in the other livestock A1. For example, the notification device 102 calculates a value such as a difference or a ratio between the measurement result N2 and the measurement result N1, and when the calculated value is equal to or greater than the threshold value Hb, the disease with the disease name B1 develops in another domestic animal A1. It is determined that
  • the notification device 102 determines whether or not “Q” is greater than or equal to the threshold Hb for each of the livestock A1 to An. For example, it is assumed that “Q” is equal to or greater than the threshold value Hb for the livestock A3 having the communication device ID “G3”. In this case, the notification device 102 displays on the display 103 that the disease with the disease name B1 has developed in the livestock A3 that is equal to or greater than the threshold value Hb.
  • the measurement result N2 obtained at the time of the onset period is acquired.
  • the onset period is 7 days.
  • the measurement result N2 of the domestic animal A1 at the time of health can be acquired by going back at least the onset period.
  • the measurement result N2 at the time point that is shorter than the onset period such as 6 days is acquired, there is a possibility of acquiring the measurement result N2 when the disease has already developed, and the measurement result at the time of health. It may become impossible to compare measurement results using N2. For this reason, in the embodiment, the measurement result N2 at the time point back by the onset period is acquired.
  • the measurement result N2 of the domestic animal A2 when going back the onset period will be the one at the time of onset.
  • the onset period is 7 days, at the present time when the disease name B1 is confirmed to occur in the livestock Ab, it has already returned to a healthy state. In this case, it is also possible to determine that the domestic animal A2 that has become sick when going back by the onset period has recovered from the disease from the difference or ratio between N1 and N2.
  • the livestock Ab when the livestock Ab is confirmed, the difference between the current number of steps of the other livestock A1 to An and the number of steps when going back from the present time by the onset period of the same disease type, When the value is similar to that of the domestic animal Ab, it is possible to determine the onset of the other domestic animals A1 to An. As a result, it is possible to discover other domestic animals A1 to An in which the disease of the same disease species as the diseased domestic animal Ab has developed, and to suggest that other domestic animals A1 to An may have been infected with the disease. it can.
  • FIG. 2 is an explanatory diagram illustrating a system configuration example of the notification system 200.
  • the notification system 200 includes a plurality of communication devices 101, a notification device 102, a plurality of relay devices 211, and a client device 230.
  • the communication device 101 and the relay device 211 are connected via a wireless communication network 210.
  • the communication device 101 and the relay device 211 have a predetermined range centered on the own device, for example, a range with a radius of 100 m centered on the own device as a communication area in which communication by the wireless communication network 210 is possible.
  • the communication device 101 and the relay device 211 are connected by the wireless communication network 210 when the positional relationship is communicable.
  • near field communication such as RFID (Radio Frequency IDentification) can be applied to the wireless communication network 210.
  • the relay 211, the notification device 102, and the client device 230 are connected via the network 220.
  • the network 220 is the Internet, a LAN (Local Area Network), a WAN (Wide Area Network), or the like.
  • the communication device 101 has a measurement result information table 201 and the like, and is a portable computer attached to each livestock A raised on the farm F.
  • the communication device 101 has a measuring function for measuring the number of steps of the livestock A to which the own device is attached and a communication function by the wireless communication network 210.
  • the communication device 101 can apply a pedometer to which a communication function by the wireless communication network 210 is added.
  • the contents stored in the measurement result information table 201 will be described later with reference to FIG.
  • the relay machine 211 is a computer that is installed in the premises of the farm F and has a communication function using the wireless communication network 210 and a communication function using the network 220.
  • the plurality of relay machines 211 are installed at different installation positions.
  • the notification device 102 includes a step count information DB 202, a disease information DB 203, a worker information DB 204, and the like, and is a computer having a communication function via the network 220.
  • a server included in a cloud computing system a PC (personal computer) used by a farm F manager or a worker, a notebook PC, or the like can be applied to the notification device 102.
  • the contents stored in the step count information DB 202, the disease information DB 203, and the worker information DB 204 will be described later with reference to FIGS.
  • the client device 230 is a computer having a communication function via the network 220.
  • a PC a notebook PC, a mobile phone, a smartphone, or the like used by the farm F worker can be applied to the client device 230.
  • FIG. 3 is a block diagram illustrating a hardware configuration example of the communication device 101.
  • the communication device 101 includes a CPU (Central Processing Unit) 301, a memory 302, an I / F (Interface) 303, a sensor 304, and a timer 305. Each component is connected by a bus 300.
  • CPU Central Processing Unit
  • I / F Interface
  • the CPU 301 controls the entire communication device 101.
  • the memory 302 includes a ROM (Read Only Memory), a RAM (Random Access Memory), a flash ROM, and the like.
  • the ROM and the flash ROM store various programs such as a boot program, for example.
  • the RAM is used as a work area for the CPU 301.
  • the I / F 303 is connected to the wireless communication network 210 through a communication line, and is connected to another device (for example, the repeater 211) via the wireless communication network 210.
  • the I / F 303 controls an internal interface with the wireless communication network 210 and controls data input / output from an external device.
  • the sensor 304 outputs information for detecting the behavior of the communication device 101.
  • the sensor 304 is realized by a gyro sensor, a three-axis acceleration sensor, or the like, and outputs information corresponding to the generated acceleration when the communication device 101 generates acceleration.
  • the communication device 101 has a pedometer function.
  • Timer 305 has a timekeeping function. For example, the timer 305 measures real time. Further, the timer 305 may count the elapsed time from a predetermined timing.
  • FIG. 4 is a block diagram illustrating a hardware configuration example of the repeater 211.
  • the relay unit 211 includes a CPU 401, a memory 402, an I / F 403, and an I / F 404. Each component is connected by a bus 400.
  • the CPU 401 controls the entire repeater 211.
  • the memory 402 includes a ROM, a RAM, a flash ROM, and the like.
  • the ROM and the flash ROM store various programs such as a boot program, for example.
  • the RAM is used as a work area for the CPU 401.
  • the I / F 403 is connected to the wireless communication network 210 via a communication line, and is connected to another device such as the communication device 101 via the wireless communication network 210.
  • the I / F 404 is connected to the network 220 through a communication line, and is connected to another device such as the notification device 102 via the network 220.
  • the I / F 403 and the I / F 404 serve as an internal interface with the wireless communication network 210 and the network 220, and control input / output of data from an external device.
  • Notification device 102 (Hardware configuration example of the notification device 102)
  • notification device 102 (Hardware configuration example of the notification device 102)
  • FIG. 5 is a block diagram illustrating a hardware configuration example of the notification device 102 and the like.
  • the notification device 102 and the like include a CPU 501, a ROM 502, a RAM 503, a magnetic disk drive 504, a magnetic disk 505, an optical disk drive 506, an optical disk 507, a display 508 (103), and an I / F 509. , A keyboard 510, a mouse 511, a scanner 512, and a printer 513. Each component is connected by a bus 500.
  • the CPU 501 governs overall control of the notification device 102 and the like.
  • the ROM 502 stores a program such as a boot program.
  • the RAM 503 is used as a work area for the CPU 501.
  • the magnetic disk drive 504 controls reading / writing of data with respect to the magnetic disk 505 according to the control of the CPU 501.
  • the magnetic disk 505 stores data written under the control of the magnetic disk drive 504.
  • the optical disk drive 506 controls the reading / writing of data with respect to the optical disk 507 according to the control of the CPU 501.
  • the optical disk 507 stores data written under the control of the optical disk drive 506, or causes the computer to read data stored on the optical disk 507.
  • Display 508 (103) displays data such as a document, an image, and function information as well as a cursor, icon or tool box.
  • a CRT for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be employed.
  • the I / F 509 is connected to the network 220 via a communication line, and is connected to other devices (for example, the relay device 211 and the client device 230) via the network 220.
  • the I / F 509 manages an internal interface with the network 220 and controls data input / output from an external device.
  • a modem or a LAN adapter can be adopted as the I / F 509.
  • the keyboard 510 has keys for inputting characters, numbers, various instructions, etc., and inputs data. Moreover, a touch panel type input pad or a numeric keypad may be used.
  • the mouse 511 moves the cursor, selects a range, moves the window, changes the size, and the like.
  • a trackball or a joystick may be used as long as they have the same function as a pointing device.
  • the scanner 512 optically reads an image and takes in the image data into the notification device 102.
  • the scanner 512 may have an OCR (Optical Character Reader) function.
  • OCR Optical Character Reader
  • the printer 513 prints image data and document data.
  • a laser printer or an ink jet printer can be adopted.
  • the notification apparatus 102 may not include the optical disk drive 506, the optical disk 507, the display 508 (103), the mouse 511, the scanner 512, and the printer 513 among the above-described components.
  • the client device 230 may not include the optical disk drive 506, the optical disk 507, the mouse 511, the scanner 512, and the printer 513.
  • the communication device 101 stores the measurement result information table 201.
  • the measurement result information table 201 is realized by the memory 302 of the communication device 101.
  • FIG. 6 is an explanatory diagram showing an example of the stored contents of the measurement result information table 201.
  • the measurement result information table 201 has fields of measurement date and time and measurement value. By setting information in these fields, the measurement result information table 201 stores measurement result information 600-1 to 600-6 for each combination of measurement date and time and measurement value as a record.
  • the measurement date / time represents the date / time of the transmission timing of the past measurement result information.
  • the measurement date and time represents the date and time of transmission timing of the latest six measurement result information.
  • the measurement value represents the measurement value of the number of steps of the livestock A at the time of the transmission timing of the past measurement result information.
  • the measurement value represents the measurement value of the number of steps of livestock A at the time of the transmission timing of the latest six measurement result information.
  • the communication device 101 accumulates the number of steps of the livestock A from a predetermined timing to the present, such as the timing when the measurement value is set to “0”, as the current measurement value. Every time the livestock A walks one step, the communication device 101 is instantaneously accelerated. When the acceleration is detected by the sensor 304, the communication device 101 increments the current measurement value by “+1”.
  • the communication apparatus 101 memorize
  • the transmission timing is, for example, 00 minutes every hour.
  • the measurement result information 600-1 represents that the measurement value at the time of “February 20, 2012, 6:00” was “C6 (C6 is a positive integer)”.
  • the communication device 101 transmits each measurement result information stored in the measurement result information table 201 to the notification device 102 via the relay device 211.
  • the communication apparatus 101 demonstrated the example which memorize
  • the communication device 101 may not store past measurement result information. For example, in this case, when the transmission timing of the measurement result information comes, the communication device 101 may transmit the current measurement value as the measurement result information and delete the measurement result information. With this configuration, it is possible to reduce the amount of data stored in the communication device 101 when storing the measurement result information.
  • the communication device 101 transmits each measurement result information stored in the measurement result information table 201, but the present invention is not limited to this.
  • the communication device 101 may transmit only the latest measurement result information, specifically, only the measurement result information 600-1 in the example of FIG. With such a configuration, the amount of data transmitted by the communication device 101 can be reduced when transmitting measurement result information.
  • the communication device 101 may transmit the latest measurement result information for one time and the measurement result information for which transmission failed at the past transmission timing. For example, in this case, when receiving the measurement result information from the communication device 101, the relay device 211 transmits successful reception information indicating that the measurement result information has been received to the communication device 101. The communication device 101 determines that the transmission of the measurement result information has failed if the reception success information is not received within a predetermined period after the measurement result information is transmitted.
  • the communication device 101 stores information indicating that the transmission has failed in association with the measurement result information determined to have failed to be transmitted. Thereafter, when the transmission timing of the measurement result information comes, the communication device 101 transmits the latest measurement result information for one time and the measurement result information for which transmission failed. With this configuration, the measurement result information can be reliably transmitted to the relay 211 while reducing the amount of data transmitted by the communication device 101 when transmitting the measurement result information.
  • the notification device 102 stores the step count information DB 202, the disease information DB 203, and the worker information DB 204.
  • the various DBs 202, 203, and 204 are realized by a storage unit such as the ROM 502, the RAM 503, the magnetic disk 505, and the optical disk 507 of the notification device 102.
  • FIG. 7 is an explanatory diagram showing an example of the contents stored in the step count information DB 202.
  • the step count information DB 202 is stored for each communication device ID.
  • the step count information DB 202 has a date field and a step count field for each time zone. By setting information in these fields, the step count information DB 202 stores step count information 700-1 to 700-3 for each combination of date and step count history as records.
  • the date represents the date when the number of steps is measured, for example, the date.
  • the number of steps represents the number of steps of livestock A based on the measurement result information.
  • the number of steps field is, for example, “0-1 o'clock”, “1-2 o'clock”, “2-3 o'clock”,..., “22-23 o'clock”, “23-24 o'clock”, etc.
  • a field is provided.
  • Information representing the number of steps of the livestock A in each time zone is stored in the number of steps field.
  • the notification device 102 stores a value obtained by subtracting the measurement value at the start time from the measurement value at the end time of each time as the number of steps of the livestock A in the step count field.
  • step count information 700-1 “N301” is stored in the “0 to 1 o'clock” field, and “N302” is stored in the “1 to 2 o'clock” field.
  • Each step count information is stored in the step count information DB 202 for a predetermined period such as 3 months.
  • a repeater ID field for storing a repeater ID for identifying the transmission repeater 211 when the measurement result information is received from the repeater 211 at each time may be provided. Good. For example, when the measurement result information is received at “2:00 on February 20, 2012” in the relay machine ID field, the relay machine ID of the relay machine 211 that is the transmission source of the measurement result information is stored. May be. If it does in this way, it can grasp
  • the step count information DB 202 stores the above-described information for each communication device ID.
  • FIG. 8 is an explanatory diagram showing an example of the contents stored in the disease information DB 203.
  • the disease information DB 203 has a disease name field, an onset period field, and an urgency level field. By setting information in these fields in advance, disease information 800-1 to 800-3 for each combination of disease name, onset period, and urgency is stored as a record.
  • the disease name is the type of disease that occurs in livestock A.
  • the onset period is a period from onset to complete cure when each disease develops. The onset period is different for each disease name.
  • the degree of urgency represents the degree of necessity of taking action immediately. For example, the urgency level is “small” when only medication is required, the urgency level is “medium” when treatment is required, and “high” level when isolation from other livestock A is required. "
  • the disease information 800-1 represents that the onset period of the disease name “wound gastritis” is “7 days” and the urgency level is “medium”.
  • the disease information DB 203 stores such disease information for each disease name.
  • FIG. 9 is an explanatory diagram showing an example of the contents stored in the worker information DB 204.
  • the worker information DB 204 has a communication device ID field, a worker ID field, and an address information field. By setting information in these fields in advance, worker information 900-1 to 900-n for each combination of the communication device ID, worker ID, and address information is stored as a record.
  • the communication device ID is identification information unique to the communication device 101 and is information for identifying the livestock A.
  • the worker ID is identification information unique to the worker for managing the livestock A.
  • the worker is, for example, the owner of each livestock A in a joint management or the like, or a keeper who raises each livestock A.
  • the address information is a mail address of the client device 230 owned by each worker.
  • the worker information 900-1 indicates that the worker ID of the worker who owns the livestock A having the communication device ID “G1” is “W1” and the address information is “W1@xxx.xx”. ing.
  • the worker information DB 204 such disease information is stored for the communication device ID.
  • FIG. 10 is a block diagram illustrating a functional configuration of the notification device 102.
  • the notification device 102 includes a reception unit 1001, a first storage unit 1002, a specification unit 1003, a second storage unit 1004, an acquisition unit 1005, a determination unit 1006, an output unit 1007, and a calculation unit. 1008 and a third storage unit 1009.
  • Each functional unit (accepting unit 1001 to third storage unit 1009), for example, causes the CPU 501 to execute a program stored in the magnetic disk 505 or the like shown in FIG.
  • the function is realized by the keyboard 510 or the like.
  • the processing result of each functional unit is stored in the RAM 503, for example.
  • the accepting unit 1001 accepts the name of a disease that has occurred in any livestock Ab of the livestock group A and the first time point when the onset of the disease has been confirmed. Whether or not a disease has occurred in livestock A is determined by, for example, a periodic checkup by a veterinarian or the like, or visual observation by an operator.
  • the disease name is a type of disease that develops in livestock A, and includes, for example, “wound gastritis”, “fourth stomach displacement”, “tuberculosis”, and the like.
  • the first time point is a time point when the onset of the disease of the livestock Ab is confirmed. The time when the onset of the disease is confirmed is not the time when the disease has started, but when the livestock Ab that has already become diseased is confirmed to have been caused by a regular checkup or the like.
  • the first storage unit 1002 stores a disease name and a disease onset period in association with each other.
  • the onset period is the period from the onset of illness to complete cure, and varies from disease name to disease name. For example, the onset period is “7 days” for “wound gastritis”, “14 days” for “displacement of the fourth stomach”, and “30 days” for “tuberculosis”.
  • the first storage unit 1002 stores, for example, the disease information DB 203 illustrated in FIG.
  • the identifying unit 1003 identifies the onset period corresponding to the disease name accepted by the accepting unit 1001 with reference to the first storage unit 1002. For example, when “wound gastritis” is received by the reception unit 1001, the specifying unit 1003 specifies “7 days” corresponding to “wound gastritis” as the onset period.
  • the second storage unit 1004 stores the measurement result information of the number of steps of other domestic animals A1 to An different from the diseased domestic animal Ab in the domestic animal group A. Specifically, the second storage unit 1004 stores measurement result information that is the number of steps of each domestic animal A1 to An for each time zone of each day of a predetermined period such as 3 months. The second storage unit 1004 stores, for example, the step count information DB 202 illustrated in FIG.
  • the acquisition unit 1005 acquires the measurement result N1 of the other livestock An in the first time period including the first time point from the second storage unit 1004.
  • the measurement result N2 is acquired.
  • the acquisition unit 1005 acquires the measurement result N2 of the other livestock Ai in the healthy state that is the closest from the first time point.
  • the measurement result N2 in the healthy state is described as being currently healthy according to the determination described later even if the measurement result N2 of another domestic animal Ai that is not in the healthy state is acquired. This is because it is not determined that the user is doing.
  • the first time zone is a time zone in which the measurement result information including the first time point is stored, and is “February 20, 11:00 to 12:00”.
  • the acquisition unit 1005 acquires the measurement result N1 of “February 20, 11:00 to 12:00” for the livestock Ai.
  • the second time point is a time when the onset period (7 days) of “wound gastritis” goes back from “February 20th 11:50” as the first time point, and “February 13th 11:50”. It is.
  • the second time zone is a time zone in which the measurement result information including the second time point is stored, and is “February 13, 11:00 to 12:00”.
  • the acquisition unit 1005 acquires the measurement result N1 of “February 13, 11:00 to 12:00” for the livestock Ai.
  • the first time zone and the second time zone are the same time zone although the dates are different. Since a plurality of domestic animals A have similar life cycles, the measurement results N1 and N2 in the same time zone are compared by setting the first time zone and the second time zone to the same time zone. Can do.
  • the determination unit 1006 includes a measurement result N1 of other livestock Ai in the first time period acquired by the acquisition unit 1005, a measurement result N2 of other livestock in the second time period, and a threshold H. Based on the above, it is determined whether or not a disease that has occurred in the domestic animal Ab has occurred in another domestic animal Ai.
  • the threshold value H is a value related to the number of steps unique to the disease that has occurred in the livestock Ab. For example, when the domestic animal Ai develops “wound gastritis”, a value corresponding to “wound gastritis” is used as the threshold value H.
  • the determination unit 1006 determines that the disease of the disease name B1 has occurred in another domestic animal Ai when the difference or ratio between the measurement result N1 and the measurement result N2 is equal to or greater than the threshold value H. For example, when the ratio is used, when “(measurement result N1 / measurement result N2) ⁇ Hw”, it is determined that a disease has occurred in the livestock Ai. Hw is a different value for each disease name.
  • the difference is used, and the determination unit 1006 determines that the livestock Ai is ill when the measurement result N2 is smaller than the measurement result N1 when healthy by a threshold Hb or more. judge. Specifically, the notification device 102 determines that the livestock A1 is healthy when “N2-N1 ⁇ Hb”, and that the livestock Ai is ill when “N2-N1 ⁇ Hb”. judge. Note that the threshold value Hb is a different value for each disease name.
  • the threshold value is equal to or higher than the threshold value H, but it is determined that the disease has also occurred even when the value is close to the threshold value H, or, for example, rampage occurs.
  • the output unit 1007 When the determination unit 1006 determines that the disease that has occurred in the livestock Ab is occurring in the other livestock Ai, the output unit 1007 outputs the disease name and the identification information of the other livestock Ai in association with each other.
  • the disease names of the other livestock Ai are the same as the disease names of the livestock Ab whose onset was confirmed.
  • the output unit 1007 displays the disease name and the identification information of the other livestock Ai from the display 103 of the notification device 102 or transmits to the client device 230 from the I / F 509.
  • the number of steps is not changed during sleep or during a meal. It is desirable that the time is excluded. Further, it is not possible to determine the time of actual illness in units of several hours, but for example, in units of half a day or in units of one day.
  • the reception unit 1001 when the reception unit 1001 receives a first time point including a time slot such as a meal, the received first time point may be changed to a time other than the time slot such as a meal. Good. For example, if the time zone during a meal is “12 to 13:00” and the first time point “12:15” is received by the reception unit 1001, the first time point is set to a time zone such as during a meal. For example, the time to be removed may be changed to 11:15 or may be changed to 13:15.
  • the second storage unit 1004 stores the measurement result of the number of steps of the livestock Ab for each time zone.
  • the acquisition unit 1005 acquires the measurement result N3 of the number of steps of the livestock Ab in the first time zone and the measurement result N4 of the number of steps of the livestock Ab in the second time zone from the second storage unit 1004.
  • the calculation unit 1008 calculates the threshold value H based on the measurement result N3 of the number of steps of the livestock Ab in the first time zone acquired by the acquisition unit 1005 and the measurement result N4 of the number of steps of the livestock Ab in the second time zone. calculate.
  • the calculation unit 1008 calculates a threshold value based on the difference or ratio between the measurement result N3 and the measurement result N4. For example, when the ratio is used, the threshold value Hw may be calculated from “measurement result N3 / measurement result N4”. Note that the method for calculating the threshold value Hw may be different for each disease name.
  • the difference is used, and the calculation unit 1008 calculates the value of how much the measurement result N3 has decreased compared to the measurement result N4 when healthy. Specifically, the calculation unit 1008 calculates the threshold value Hb from “N4-N3”. Note that the method of calculating the threshold Hb may be different for each disease name.
  • the determination unit 1006 develops in the livestock Ab based on the measurement result N1 of the other livestock Ai in the first time zone, the measurement result N2 of the other livestock Ai in the second time zone, and the calculated threshold value Hb. It is determined whether or not the disease has occurred in other livestock Ai. By using such a threshold Hb, for each domestic animal A1 to An in the pasture where the behavior pattern is similar, it is appropriately determined whether or not the disease that has occurred in the domestic animal Ab has occurred in the other domestic animal Ai. Can do. In particular, the domestic animals A1 to An that act as a group have more similar behavior patterns, and therefore it is appropriate to determine whether the disease that occurred in the domestic animal Ab has occurred in other domestic animals Ai belonging to the same group. Can be determined.
  • the first storage unit 1002 stores a disease name, a disease onset period, and a disease urgency level in association with each other.
  • the degree of urgency indicates the degree of necessity of taking action immediately. Depending on the degree, there are three levels, “large, medium, and small”. It is good also as four steps or more.
  • the identifying unit 1003 refers to the first storage unit 1002 and identifies the onset period and the degree of urgency corresponding to the disease name accepted by the accepting unit 1001. For example, when “wounding gastritis” is received by the receiving unit 1001, the specifying unit 1003 specifies “7 days” corresponding to “wounding gastritis” and the urgency level “medium” as the onset period.
  • the output unit 1007 When the determining unit 1006 determines that the disease that has occurred in the livestock Ab is occurring in another livestock Ai, the output unit 1007 further outputs the urgent level specified by the specifying unit 1003 in association with it. Thereby, it is possible to clearly notify the worker whether or not the disease of the other livestock Ai is a disease that should be treated immediately.
  • the third storage unit 1009 memorize
  • the third storage unit 1009 stores a communication device ID, a worker ID, and address information.
  • the third storage unit 1009 stores the worker information DB 204 illustrated in FIG.
  • the communication device is, for example, the client device 230.
  • the identification unit 1003 refers to the third storage unit when the determination unit 1006 determines that the disease that has occurred in the livestock Ab occurs in the other livestock Ai, and the operation of raising the other livestock Ai Specify the address of the person's communication device.
  • the output unit 1007 transmits the disease name, the urgency level, and the identification information of the other livestock Ai in association with the address specified by the specifying unit 1003. Thereby, the operator who manages livestock Ai can be notified that livestock Ai became sick.
  • the communication device is preferably a mobile communication device such as a mobile phone or a smartphone owned by the worker.
  • FIG. 11 is an explanatory diagram showing an example of a screen displayed on the client device 230.
  • a user name 1101, an urgency level 1102, and a disease name 1103 are displayed on the display 508.
  • the user name 1101 is the name of the worker.
  • the urgency level 1102 corresponds to the disease name 1103 and “large” is displayed.
  • the disease name 1103 indicates that there is a risk that tuberculosis may occur in the livestock A1 managed by the worker 1101.
  • livestock Ai becomes ill
  • the worker can isolate livestock Ai, etc. Measures can be taken immediately.
  • FIG. 12 is a flowchart illustrating an example of a communication processing procedure of the relay 211.
  • the relay device 211 determines whether or not the measurement result information and the communication device ID are received from the communication device 101 (step S1201). Note that the measurement result information and the communication device ID are transmitted from the communication device 101, for example, every other hour.
  • the repeater 211 waits until receiving the measurement result information and the communication device ID (step S1201: No). When the measurement result information and the communication device ID are received (step S1201: Yes), the repeater 211 transmits the received measurement result information and the communication device ID to the notification device 102 (step S1202), and a series of processes according to this flowchart. Exit.
  • the relay device 211 when the relay device 211 receives the measurement result information and the communication device ID, the relay device 211 can transmit the information to the notification device 102.
  • FIG. 13 is a flowchart (part 1) illustrating an example of a notification processing procedure of the notification device 102.
  • the notification device 102 first determines whether or not the measurement result information and the communication device ID of the communication device 101 are received from the relay device 211 (step S1301).
  • the notification device 102 stands by until receiving the measurement result information and the communication device ID (step S1301: No).
  • the measurement result information and the communication device ID are transmitted from the repeater 211 every hour, for example.
  • the notification device 102 stores the measurement result information and the communication device ID in the step count information DB 202 (see FIG. 7) (step S1302), and the series according to this flowchart. Terminate the process. Thereby, the alerting
  • FIG. 14 is a flowchart (part 2) illustrating an example of a notification processing procedure of the notification device 102.
  • the notification device 102 determines whether or not a communication device ID, a disease name, and a time point when the disease has been confirmed has been received from the worker (step S1401).
  • the notification device 102 waits until it receives the communication device ID, disease name, and time point at which the disease was confirmed of the livestock Ab that became sick (step S1401: No).
  • the notification device 102 refers to the disease information DB 203 from the received disease name and develops the disease.
  • a period is specified (step S1402).
  • reporting apparatus 102 acquires the measurement result N4 of the time slot
  • the notification device 102 refers to the step count information DB 202 and acquires the measurement result N3 of the time zone of the affected livestock Ab that is traced back by the onset period (step S1404).
  • the measurement result N3 indicates the number of steps in a healthy state.
  • reporting apparatus 102 calculates threshold value Hb by subtracting N4 from measurement result N3 (step S1405).
  • the notification device 102 sets “1” to “i” indicating the values of “1 to n” among the communication device IDs “G1” to “Gn” (step S1406).
  • the notification device 102 selects the communication device ID “Gi” (step S1407).
  • reporting apparatus 102 performs a disease determination process (step S1408). Details of the disease determination process will be described later with reference to FIG.
  • the notification device 102 adds “1” to “i” (step S1409) and determines whether “i” is larger than “n” (step S1410).
  • step S1410: No the notification device 102 causes the process to proceed to step S1407.
  • step S1410: Yes a series of processes according to this flowchart is terminated.
  • the threshold value Hb can be calculated, the measurement result of each communication device 101 can be selected, and the target communication device ID can be set as a disease setting determination target.
  • FIG. 15 is a flowchart illustrating an example of the disease determination processing procedure of the notification device 102.
  • the notification device 102 refers to the step count information DB 202 and acquires the measurement result N2 of the time zone in which the livestock Ab is confirmed to be illness for the communication device ID “Gi” (step S1501).
  • the notification device 102 refers to the step count information DB 202 and acquires the measurement result N1 of the time zone that goes back by the onset period for the communication device ID “Gi” (step S1502).
  • the measurement result N1 indicates the number of steps in a healthy state.
  • step S1503 judges whether the value which subtracted N2 from measurement result N1 is more than threshold value Hb (step S1503). If the value obtained by subtracting N2 from the measurement result N1 is not equal to or greater than the threshold value Hb (step S1503: No), the series of processes according to this flowchart is terminated. When the value obtained by subtracting N2 from the measurement result N1 is greater than or equal to the threshold value Hb (step S1503: Yes), the notification device 102 refers to the disease information DB 203 and identifies the degree of urgency (step S1504).
  • reporting apparatus 102 specifies address information from communication apparatus ID with reference to worker information DB204 (step S1505). And the alerting
  • FIG. 16 is a flowchart illustrating an example of a notification processing procedure of the client device 230.
  • the client device 230 determines whether disease name information and urgency level information have been received from the notification device 102 (step S1601).
  • the client device 230 waits until the disease name information and the urgency level information are received (step S1601: No). When the disease name information and the urgency level information are received (step S1601: Yes), the client device 230 displays and outputs the disease name information and the urgency level information (step S1602), and ends a series of processes according to this flowchart.
  • the ring tone and the alarm sound may be made different.
  • the urgency level can be increased even if the operator cannot release his / her hand for other work. If it is high, the work can be stopped and the notification content can be confirmed.
  • the average value of the number of steps between the livestock A that became sick in the past and the herd to which the livestock A belongs is compared, and the livestock A may have been infected due to the difference in the comparison results at the time of infection before the onset.
  • the configuration when the detection of the above is made possible will be described with reference to FIGS.
  • FIG. 17 is an explanatory diagram showing an example of a comparison of behavior of livestock a that has been infected in the past and herd at that time.
  • the vertical axis represents the number of steps per unit time
  • the horizontal axis represents the elapsed time.
  • a solid line 1701 indicates an average value of the livestock A in the group excluding the estrus livestock A whose number of steps increases. The number of steps is increasing or decreasing due to, for example, the weather or topography.
  • the alternate long and short dash line 1702 indicates the change in the number of steps when disease W1 develops in a certain domestic animal A.
  • a dotted line 1703 indicates a change in the number of steps when disease W2 develops in a certain domestic animal A.
  • calculation of the threshold of the number of steps for each disease will be described. First, when the onset of the disease W1 is confirmed, it is possible to specify the time when the latent period set in advance for each disease is calculated backward from the onset time as an infection point. Then, a value obtained by multiplying the difference between the number of steps at the infection point and the average value by a safety factor of 1.1 to 1.2 times, for example, is set as the threshold value of the disease W1. The threshold value is similarly calculated for the disease W2. The threshold value for each disease calculated in this way is stored in the infection possibility DB shown in FIG.
  • FIG. 18 is an explanatory diagram showing an example of a comparison of the behavior of the current livestock A and the group to which the livestock A belongs.
  • the vertical axis indicates the number of steps per unit time
  • the horizontal axis indicates the elapsed time.
  • a solid line 1801 indicates the average value of the livestock A in the group excluding the estrus livestock A whose number of steps increases.
  • a dotted line 1802 indicates a change in the number of steps of the livestock A to be determined.
  • FIG. 19 is a flowchart illustrating an example of a threshold setting process procedure performed by the notification device 102.
  • the notification device 102 waits until an infected livestock is confirmed and, for example, receives an input from an operator as to whether or not an infected livestock exists (step S1901: No).
  • the notification device 102 identifies a disease (step S1902). The identification of the disease is performed based on, for example, an operation input by the operator.
  • the notification device 102 refers to the illness latency period using a latent period DB (not shown) set in advance (step S1903). And the alerting
  • FIG. 20 is an explanatory diagram showing an example of the contents stored in the infection possibility DB 2001.
  • the infectivity possibility DB 2001 includes a disease name field and an infectivity possibility threshold field. By setting information in each of these fields, the infection possibility DB 2001 stores threshold information 2000-1 to 2000-m for each combination of disease name and infection possibility threshold as a record.
  • the threshold value calculated in the threshold setting process of FIG. 19 is stored in the threshold field for the possibility of infection.
  • the threshold information 2000-1 indicates that there is a possibility that the patient has been infected with the disease W1 when the threshold is equal to or greater than W1.
  • FIG. 21 is a flowchart illustrating an example of the illness possibility determination processing procedure performed by the notification device 102.
  • the notification device 102 determines whether or not the absolute value obtained by subtracting the value of the number of steps of the individual to be determined from the average value is equal to or greater than the threshold (step S2101). When it is less than the threshold (step S2101: No), the notification device 102 sets “1” to “i” indicating the number of individuals (step S2102). Then, the notification device 102 determines whether or not the total number of individuals X and i are the same number (step S2103).
  • step S2103: Yes When the total number of individuals X and i are the same number (step S2103: Yes), the notification device 102 ends the series of processes according to this flowchart.
  • step S2103: No the notification device 102 proceeds to step S2101.
  • step S2101 when the absolute value obtained by subtracting the value of the number of steps of the individual to be determined from the average value is equal to or larger than the threshold (step S2101: Yes), the notification device 102 determines whether there is an estrus sign of the individual to be determined. Is determined (step S2104).
  • the presence or absence of the sign of estrus can be determined from the number of steps, for example, and specifically, it can be determined that the estrus is present when the number of steps is equal to or greater than a predetermined value.
  • step S2104 When the individual to be determined is in estrus (step S2104: Yes), the notification device 102 ends the series of processes according to this flowchart. If the individual to be determined is not in estrus (step S2104: No), ⁇ is calculated by subtracting the value of the number of steps of the individual to be determined from the average value (step S2105). Then, with reference to the infection possibility DB 2001 of FIG. 20, it is determined whether ⁇ exceeds v3 (step S2106). When ⁇ is equal to or less than v3 (step S2106: No), the notification device 102 ends the series of processes according to this flowchart.
  • step S2106 When ⁇ exceeds v3 (step S2106: Yes), the notification device 102 determines that there is a possibility of illness W3 (step S2107), and shifts to the processing of step S2114.
  • step S2108: No When ⁇ is equal to or smaller than v2 (step S2108: No), the notification device 102 ends the series of processes according to this flowchart.
  • step S2108: Yes the notification device 102 determines that there is a possibility of illness W2 (step S2109), and shifts to the processing of step S2114.
  • step S2110: No If ⁇ is equal to or greater than ⁇ v1 (step S2110: No), the notification device 102 ends the series of processes according to this flowchart. When ⁇ is less than ⁇ v1 (step S2110: Yes), the notification device 102 determines that there is a possibility of illness W1 (step S2111), and shifts to the processing of step S2114. When ⁇ is equal to or greater than ⁇ vm (step S2112: No), the notification device 102 ends a series of processes according to the flowchart. If ⁇ is less than ⁇ vm (step S2112: Yes), the notification device 102 determines that there is a possibility of illness Wm (step S2113), and issues a warning that there is a possibility of illness (step S2114). A series of processing by this flowchart is complete
  • the notification device 102 when the livestock Ab is confirmed, the difference between the current number of steps of the other livestock Ai and the number of steps when the current disease type is traced back from the present onset period.
  • the value is the same as that of the domestic animal Ab, it is possible to determine the onset of another domestic animal Ai. Thereby, the other domestic animal Ai in which the disease of the same disease species as the diseased domestic animal Ab has developed can be found.
  • the threshold value H can be calculated based on the measurement result N4. That is, it is possible to use the property that the behavior patterns of the livestock Ab and Ai in the same pasture are similar. That is, since the changes in the number of steps of the livestock Ab and the livestock Ai are similar, it is possible to improve the accuracy of determining whether or not the livestock Ai is sick.
  • the behavior patterns of livestock Ab, A1 to An that act in groups are more similar. Therefore, in the determination of whether or not a disease that has occurred in the livestock Ab has occurred in another livestock Ai belonging to the same group, the accuracy of the determination can be further increased.
  • the notification device 102 when it is determined that a disease that has occurred in the livestock Ab has occurred in the other livestock Ai, the urgency is associated and output. Thereby, the operator can know the urgency of the disease of the other livestock Ai. Therefore, the worker can examine whether or not it is necessary to take immediate action, and can take measures such as treatment and care of the livestock A, prevention of infection to other livestock A, F loss can be suppressed.
  • a disease name, an urgency level, and other livestock Ai identification information can be associated and transmitted to an address associated with a communication device ID.
  • the notification method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation.
  • the notification program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer.

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Abstract

When a notification device (102) receives a communications unit ID and measurement results information from a communications unit (101), the measurement results information for each time period is stored along with the communications unit ID. If the onset of a disease name (B1) is confirmed in livestock (Ab), a worker enters the time at which the onset of the disease name (B1) was confirmed in the livestock (Ab) into the notification device (102). The notification device (102) specifies the period of affliction for the disease name (B1) and acquires information regarding a threshold (Hb) for the number of steps peculiar to the disease name (B1). The notification device (102) acquires measurement results (N1) for another livestock (A1) at the time of the rise of the period of affliction of the disease name (B1) and the measurement results (N2) for the other livestock (A1) at the time the disease onset was confirmed. The notification device (102) judges that an onset of the disease for the disease name (B1) has occurred in the livestock (A1) when "N1 - N2 ≥ Hb." The notification device (102) forms a display on a display (103) to the effect that onset of the disease for the disease name (B1) has occurred in livestock (A3) which has the threshold value (Hb) or greater.

Description

報知方法、報知プログラム、および報知装置Notification method, notification program, and notification device
 本発明は、報知方法、報知プログラム、および報知装置に関する。 The present invention relates to a notification method, a notification program, and a notification device.
 従来、牛などの家畜を放牧して飼育する場合、畜産農家の作業者が定期的に放牧地に赴いて家畜を目視で観察したり、一頭ごとに検診を行ったりして、家畜が病気になっていないかを確認している。また、関連する先行技術として、過去の歩数の測定結果と、現在の歩数の測定結果とを比較することにより、牛の病気の開始の時期を検出する技術が提案されている(例えば、下記特許文献1参照。)。 Traditionally, when cattle and other livestock are grazed and bred, livestock farmers regularly visit the grazing land to visually observe livestock or perform individual checkups, causing livestock to become sick. It is confirmed whether it is not. In addition, as a related prior art, a technique for detecting the start time of cattle disease by comparing the measurement result of past steps with the measurement result of current steps has been proposed (for example, the following patents) Reference 1).
特開2008-92878号公報JP 2008-92878 A
 しかしながら、従来技術では、過去の歩数の測定結果によっては、病気の発症を検出できない場合があるという問題がある。例えば、過去の歩数の測定結果として既に家畜に病気が発症しているときの歩数の測定結果を用いた場合には、発症してからの歩数と、現在の歩数とを比較しても変化が少なくなり、病気の発症を検出できない場合がある。 However, the conventional technique has a problem that the onset of the disease may not be detected depending on the measurement result of the number of steps in the past. For example, if the measurement result of the number of steps when the disease has already developed in the livestock is used as the measurement result of the previous number of steps, there will be a change even if the number of steps since the onset is compared with the current number of steps. In some cases, the onset of illness cannot be detected.
 本発明は、上述した従来技術による問題点を解消するため、発病している家畜の発見を支援することができる報知方法、報知プログラム、および報知装置を提供することを目的とする。 An object of the present invention is to provide a notification method, a notification program, and a notification device capable of supporting the discovery of diseased livestock in order to solve the above-described problems caused by the prior art.
 上述した課題を解決し、目的を達成するため、本発明の一側面によれば、家畜群のいずれかの家畜が発症していると確認された第1の時点と、前記家畜に発症している病気の病名とを受け付け、病気の病名と前記病気の発症期間とを対応付けて記憶する第1の記憶部を参照して、受け付けた前記家畜に発症している病気の病名に対応する発症期間を特定し、各日の時間帯ごとに、前記家畜群のうちの前記家畜とは異なる他の家畜の歩数の計測結果を記憶する第2の記憶部の中から、前記第1の時点を含む第1の時間帯の前記他の家畜の計測結果と、前記第1の時点から少なくとも特定した前記発症期間の時間分遡った第2の時点を含む第2の時間帯の前記他の家畜の計測結果とを取得し、取得した前記第1の時間帯の前記他の家畜の計測結果と、前記第2の時間帯の前記他の家畜の計測結果と、前記家畜に発症している病気に固有の歩数に関する閾値とに基づいて、前記家畜に発症している病気が前記他の家畜に発症しているか否かを判定し、前記家畜に発症している病気が前記他の家畜に発症していると判定した場合、前記家畜に発症している病気の病名と前記他の家畜の識別情報とを関連付けて出力する報知方法、報知プログラム、および報知装置が提案される。 In order to solve the above-described problems and achieve the object, according to one aspect of the present invention, the first time point when any livestock in the livestock group is confirmed to have developed, and the livestock has developed. An onset corresponding to the name of the disease occurring in the received domestic animal, with reference to the first storage unit that stores the name of the disease and the onset period of the disease in association with each other. A period is specified, and the first time point is selected from a second storage unit that stores a measurement result of the number of steps of other livestock different from the livestock in the livestock group for each time zone. The measurement result of the other livestock in the first time zone including the second live time of the other livestock including the second time point that is at least the time of the onset period specified from the first time point. Measurement results, and the measurement results of the other livestock in the acquired first time zone. Based on the measurement result of the other livestock in the second time zone and a threshold value regarding the number of steps unique to the disease that develops in the livestock, And if it is determined that the disease occurring in the livestock is occurring in the other livestock, the disease name of the disease occurring in the livestock and the other livestock Proposed are a notification method, a notification program, and a notification device that output the identification information in association with each other.
 本発明の一側面によれば、発病している家畜の発見を支援することができるという効果を奏する。 According to one aspect of the present invention, it is possible to support the discovery of diseased livestock.
図1は、本実施の形態にかかる報知方法の一実施例を示す説明図である。FIG. 1 is an explanatory diagram showing an example of a notification method according to the present embodiment. 図2は、報知システム200のシステム構成例を示す説明図である。FIG. 2 is an explanatory diagram illustrating a system configuration example of the notification system 200. 図3は、通信機101のハードウェア構成例を示すブロック図である。FIG. 3 is a block diagram illustrating a hardware configuration example of the communication device 101. 図4は、中継機211のハードウェア構成例を示すブロック図である。FIG. 4 is a block diagram illustrating a hardware configuration example of the repeater 211. 図5は、報知装置102等のハードウェア構成例を示すブロック図である。FIG. 5 is a block diagram illustrating a hardware configuration example of the notification device 102 and the like. 図6は、計測結果情報テーブル201の記憶内容の一例を示す説明図である。FIG. 6 is an explanatory diagram showing an example of the stored contents of the measurement result information table 201. 図7は、歩数情報DB202の記憶内容の一例を示す説明図である。FIG. 7 is an explanatory diagram showing an example of the contents stored in the step count information DB 202. 図8は、疾病情報DB203の記憶内容の一例を示す説明図である。FIG. 8 is an explanatory diagram showing an example of the contents stored in the disease information DB 203. 図9は、作業者情報DB204の記憶内容の一例を示す説明図である。FIG. 9 is an explanatory diagram showing an example of the contents stored in the worker information DB 204. 図10は、報知装置102の機能的構成例を示すブロック図である。FIG. 10 is a block diagram illustrating a functional configuration example of the notification device 102. 図11は、クライアント装置230に表示される画面例を示す説明図である。FIG. 11 is an explanatory diagram illustrating an example of a screen displayed on the client device 230. 図12は、中継機211の通信処理手順の一例を示すフローチャートである。FIG. 12 is a flowchart illustrating an example of a communication processing procedure of the relay 211. 図13は、報知装置102の報知処理手順の一例を示すフローチャート(その1)である。FIG. 13 is a flowchart (part 1) illustrating an example of a notification processing procedure of the notification device 102. 図14は、報知装置102の報知処理手順の一例を示すフローチャート(その2)である。FIG. 14 is a flowchart (part 2) illustrating an example of a notification processing procedure of the notification device 102. 図15は、報知装置102の疾病判定処理手順の一例を示すフローチャートである。FIG. 15 is a flowchart illustrating an example of the disease determination processing procedure of the notification device 102. 図16は、クライアント装置230の報知処理手順の一例を示すフローチャートである。FIG. 16 is a flowchart illustrating an example of a notification processing procedure of the client device 230. 図17は、過去に感染した家畜aとその時の群れの行動の比較の一例を示す説明図である。FIG. 17 is an explanatory diagram showing an example of a comparison of behavior of livestock a that has been infected in the past and herd at that time. 図18は、現在の家畜Aと当該家畜Aが属する群れの行動の比較の一例を示す説明図である。FIG. 18 is an explanatory diagram showing an example of a comparison of the behavior of the current livestock A and the group to which the livestock A belongs. 図19は、報知装置102がおこなう閾値設定処理手順の一例を示すフローチャートである。FIG. 19 is a flowchart illustrating an example of a threshold setting process procedure performed by the notification device 102. 図20は、感染可能性DB2001の記憶内容の一例を示す説明図である。FIG. 20 is an explanatory diagram showing an example of the stored contents of the infection possibility DB 2001. 図21は、報知装置102がおこなう病気可能性判定処理手順の一例を示すフローチャートである。FIG. 21 is a flowchart illustrating an example of the illness possibility determination processing procedure performed by the notification device 102.
 以下に添付図面を参照して、本発明にかかる報知方法、報知プログラム、および報知装置の実施の形態を詳細に説明する。 Hereinafter, embodiments of a notification method, a notification program, and a notification device according to the present invention will be described in detail with reference to the accompanying drawings.
 図1は、本実施の形態にかかる報知方法の一実施例を示す説明図である。図1において、作業者が管理する農場Fの敷地内では家畜Aが飼育されている。ここで、作業者とは、畜産業に従事する者である。農場Fとは、家畜Aを放牧する放牧地などを有する施設である。家畜Aとは、農場Fの敷地内、例えば農場Fの放牧地内を移動可能に飼育された動物である。例えば、家畜Aとしては、牛や豚や馬など、歩行により移動する動物を挙げることができる。 FIG. 1 is an explanatory diagram showing an example of a notification method according to the present embodiment. In FIG. 1, livestock A is bred on the premises of a farm F managed by an operator. Here, the worker is a person engaged in the livestock industry. Farm F is a facility having a grazing land for grazing livestock A. The livestock A is an animal bred so as to be movable within the site of the farm F, for example, within the pasture of the farm F. For example, the livestock A can include animals that move by walking, such as cows, pigs, and horses.
 家畜A1~Anには、それぞれ通信機101が装着されている。ここで、通信機101は、家畜Aの歩数を計測する可搬型のコンピュータである。例えば、家畜Aは、歩行の際に、まず、右足を移動方向の地面に向けて送り出す。右足が地面に着地すると、今度は左足を移動方向の地面に向けて送り出す。そして、家畜Aは、左足が地面に着地すると、再び、右足を送り出すといったような動作を繰り返す。すなわち、家畜Aの歩数は、家畜Aが右足または左足を移動方向の地面に向けて送り出した回数とすることができる。 A communication device 101 is attached to each of the livestock A1 to An. Here, the communication device 101 is a portable computer that measures the number of steps of the livestock A. For example, livestock A first sends out the right foot toward the ground in the movement direction during walking. When the right foot lands on the ground, the left foot is sent out toward the ground in the moving direction. Then, the livestock A repeats an operation such as sending out the right foot again when the left foot lands on the ground. That is, the number of steps of the livestock A can be the number of times the livestock A has sent the right foot or the left foot toward the ground in the moving direction.
 例えば、家畜Aに病気が発症すると、家畜Aの単位時間あたりの歩数は、健康時に比べて、増加したり減少したりする。病気とは、家畜Aの身体または精神に不調または不都合が生じた状態をいう。なお、家畜Aに病気が発症することを発病という。 For example, when a disease develops in livestock A, the number of steps per unit time of livestock A increases or decreases compared to when healthy. Sickness refers to a condition in which the body or spirit of livestock A is upset or inconvenient. In addition, the onset of disease in livestock A is called onset.
 通信機101は、農場Fの敷地内に設けられた複数の中継機と通信可能になっており、当該中継機を介して、報知装置102と通信可能なコンピュータである。なお、複数の中継機は、農場F内に、それぞれ異なる位置に設置されており、それぞれ、例えば半径150mの通信エリアを形成する。通信機101は、通信可能ないずれかの中継機に、計測結果を表す計測結果情報と、通信機101固有の通信機IDを送信する。 The communication device 101 is a computer that can communicate with a plurality of relay devices provided on the premises of the farm F, and can communicate with the notification device 102 via the relay device. The plurality of relay machines are installed at different positions in the farm F, and each form a communication area with a radius of 150 m, for example. The communication device 101 transmits measurement result information indicating a measurement result and a communication device ID unique to the communication device 101 to any relay device capable of communication.
 報知装置102は、ディスプレイ103を有し、中継機を介して通信機101から、通信機101の計測結果情報および通信機IDを受信可能なコンピュータである。報知装置102は、1時間ごとの計測結果情報を通信機IDごとに所定期間分記憶する。報知装置102は、通信機IDごとの計測結果情報を用いて、家畜Aが発病していないかを判定するものである。 The notification device 102 is a computer having a display 103 and capable of receiving measurement result information and a communication device ID of the communication device 101 from the communication device 101 via a relay device. The notification device 102 stores hourly measurement result information for a predetermined period for each communication device ID. The notification device 102 determines whether or not the livestock A is sick using the measurement result information for each communication device ID.
 ここで、家畜Aが発病した場合には家畜Aの歩数が変化するということを利用し、一頭に発病が確認された場合に、他の牛についても過去の計測結果を用いて発病の有無を判定したとする。例えば、定期検診などにより、一頭に発病が確認された場合、他の家畜Aについて、過去の健康時の計測結果と現在の計測結果と差分が所定値以上の場合に、他の家畜Aが発病しているものと判定するようにしたとする。 Here, using the fact that the number of steps of livestock A changes when livestock A becomes ill, and when the illness is confirmed in one animal, the presence or absence of the disease is also confirmed using past measurement results for other cattle. Assume that you have determined. For example, if disease is confirmed in one animal by periodic checkup, etc., if the difference between the measurement result of the past health and the current measurement result is greater than or equal to a predetermined value, Suppose you decide that you are doing.
 既に他の家畜Aが発病してから3日が経過しているものとすると、他の家畜Aについて、健康時の計測結果として4日以上前の計測結果を用いなければならない。なお、3日以内の計測結果を用いて、この計測結果と現在の計測結果とを比較したとすると所定値以上の差分が導出されず、発病していないものと判定してしまうことがある。 Suppose that 3 days have passed since the other livestock A became ill, and for the other livestock A, the measurement result of 4 days or more must be used as the measurement result at the time of health. In addition, if this measurement result is compared with the current measurement result using measurement results within three days, a difference greater than a predetermined value may not be derived, and it may be determined that the patient is not sick.
 近い過去では既に病気の発症後である可能性があるということを考慮し、遠い過去として例えば半年前の計測結果を用いて現在の計測結果と比較したとする。ところが、半年前では、群れの数、季節の変化による地形や餌の違いなど、環境が異なっていることがあるため、過去の計測結果と現在の計測結果とに大きな差異が生じることがある。これにより、過去の健康時の計測結果と現在の計測結果とに所定値以上の差分が導出され、健康な家畜Aに対しても、発病しているものと判定してしまうことがある。 Considering that there is a possibility that it is already after the onset of the disease in the near past, it is assumed that the distant past is compared with the current measurement result using, for example, the measurement result six months ago. However, half a year ago, the environment may be different, such as the number of flocks, differences in topography and baits due to seasonal changes, and so there may be a large difference between past measurement results and current measurement results. Thereby, the difference more than a predetermined value is derived | led-out by the measurement result in the past health, and the present measurement result, and it may determine with the healthy livestock A having been sick.
 また、家畜Aは、群れ内の家畜同士で影響を受けやすく、病気ごとの歩数の減少傾向を示す過去の統計を用いただけでは、発病の予兆を把握することは困難な場合がある。 In addition, livestock A is easily affected by livestock in the herd, and it may be difficult to grasp the signs of disease on the basis of past statistics that show a decreasing trend in the number of steps for each disease.
 そこで、本実施の形態では、家畜A(Ab)の確認時に、他の家畜A1~Anの現在の歩数と現在から同病種の発症期間分遡った時の歩数との差分が、家畜Abと同様の値となった場合に他の家畜A1~Anの発病を判断する。これにより、発病した家畜Abと同病種の病気が発症している他の家畜A1~Anを発見することができる。なお、過去に発病した家畜Aと当該家畜Aが属する群れとの歩数の平均値を比較し、発症前の感染時点における比較結果の差異により、家畜Aが病気に感染した可能性があることを家畜Aの発症前に通知してもよい。 Therefore, in the present embodiment, when the livestock A (Ab) is confirmed, the difference between the current number of steps of the other livestock A1 to An and the number of steps when going back from the present onset period of the same disease species is When the same value is reached, the onset of other livestock A1 to An is determined. As a result, it is possible to find other domestic animals A1 to An in which the disease of the same disease species as the diseased domestic animal Ab has developed. In addition, the average number of steps between the livestock A that became sick in the past and the group to which the livestock A belongs is compared, and it is possible that livestock A may have been infected due to the difference in the comparison results at the time of infection before the onset. You may notify before the onset of domestic animal A.
 以下、実施の形態の報知方法の一実施例について説明する。 Hereinafter, an example of the notification method according to the embodiment will be described.
 通信機101は、中継機を介して所定の送信間隔で、家畜Aを識別する通信機IDおよび家畜Aの歩数を表す計測結果情報を送信する。所定の送信間隔とは、例えば1時間である。 The communication device 101 transmits a communication device ID for identifying the livestock A and measurement result information representing the number of steps of the livestock A at predetermined transmission intervals via the relay device. The predetermined transmission interval is, for example, 1 hour.
 報知装置102は、通信機101から通信機IDおよび計測結果情報を受信すると、通信機IDごとに各時間帯の計測結果情報を記憶する。 When the notification device 102 receives the communication device ID and the measurement result information from the communication device 101, the notification device 102 stores the measurement result information of each time zone for each communication device ID.
 ここで、定期検診などにより、家畜Abに病名B1の発病が確認されたとする。作業者は、報知装置102に家畜Abの病名B1と、発病が確認された時間とを入力する。発病が確認された時間とは、家畜Abが実際に発病したときの時間ではなく、家畜Abが発病していることを作業者が確認した時間である。報知装置102は、病名B1の発症期間を特定するとともに、病名B1に固有の歩数に関する閾値Hbの情報を取得する。発症期間とは、病名B1の病気が発症してから治るまでの期間である。発症期間よりも長い期間、家畜Aに病気が継続して発症することはないものとする。閾値Hbとは、歩数の計測結果から、病名B1であると判定するための値である。 Here, it is assumed that the disease name B1 has been confirmed in the livestock Ab by regular check-ups. The operator inputs the disease name B1 of the livestock Ab and the time when the disease was confirmed to the notification device 102. The time when the disease is confirmed is not the time when the livestock Ab actually becomes sick, but the time when the worker confirms that the livestock Ab is sick. The notification device 102 specifies the onset period of the disease name B1 and acquires information on the threshold value Hb regarding the number of steps unique to the disease name B1. The onset period is a period from the onset of the disease of the disease name B1 to the cure. It is assumed that the disease does not continue to develop in the livestock A for a period longer than the onset period. The threshold value Hb is a value for determining that the disease name is B1 from the measurement result of the number of steps.
 また、報知装置102は、病名B1の発症期間分遡ったときの他の家畜A(例えばA1)の計測結果N2と、発病が確認されたときの家畜A1の計測結果N1とを取得する。例えば、病名B1の発症期間が例えば7日であり、発病が確認された時点を2月8日11:50とすると、報知装置102は、7日遡った家畜A1の2月1日11~12時の計測結果N2と、家畜A1の2月8日11~12時の計測結果N1とを取得する。 Further, the notification device 102 acquires a measurement result N2 of another domestic animal A (for example, A1) when the disease name B1 is onset, and a measurement result N1 of the domestic animal A1 when the disease is confirmed. For example, if the onset period of the disease name B1 is, for example, 7 days, and the time when the disease is confirmed is 11:50 on February 8, the notification device 102 will report 11 to 12 on February 1 of the livestock A1 that goes back 7 days. The measurement result N2 of the hour and the measurement result N1 of the livestock A1 from 11 to 12:00 on February 8 are acquired.
 報知装置102は、取得した計測結果N1,N2、および閾値Hbを用いて、家畜Abに発症した病名B1の病気が他の家畜A1に発症しているか否かを判定する。報知装置102は、例えば、計測結果N2と計測結果N1との差分や比率などの値を算出し、算出した値が閾値Hb以上である場合に、病名B1の病気が他の家畜A1に発症していると判定する。 The notification device 102 uses the acquired measurement results N1 and N2 and the threshold value Hb to determine whether or not the disease of the disease name B1 that has developed in the livestock Ab has developed in the other livestock A1. For example, the notification device 102 calculates a value such as a difference or a ratio between the measurement result N2 and the measurement result N1, and when the calculated value is equal to or greater than the threshold value Hb, the disease with the disease name B1 develops in another domestic animal A1. It is determined that
 実施の形態では、報知装置102は、計測結果N1が健康時の計測結果N2に比べて、閾値Hb以上減少している場合に、家畜A1に病名B1の病気が発症していると判定するようにしている。具体的には、報知装置102は、「N2-N1=Q」を算出し、「Q<Hb」の場合、家畜A1が健康であると判定し、「Q≧Hb」の場合、家畜A1に病名B1の病気が発症していると判定する。 In the embodiment, the notification device 102 determines that the disease with the disease name B1 has developed in the livestock A1 when the measurement result N1 is reduced by the threshold value Hb or more as compared to the measurement result N2 during health. I have to. Specifically, the notification device 102 calculates “N2−N1 = Q”, determines that the livestock A1 is healthy if “Q <Hb”, and determines that the livestock A1 is “Q ≧ Hb”. It is determined that the disease with the disease name B1 has developed.
 報知装置102は、家畜A1~Anに対して、それぞれ、「Q」が閾値Hb以上であるか否かの判定を行う。例えば、通信機ID「G3」の家畜A3について、「Q」が閾値Hb以上であるとする。この場合、報知装置102は、閾値Hb以上である家畜A3に病名B1の病気が発症している旨をディスプレイ103に表示する。 The notification device 102 determines whether or not “Q” is greater than or equal to the threshold Hb for each of the livestock A1 to An. For example, it is assumed that “Q” is equal to or greater than the threshold value Hb for the livestock A3 having the communication device ID “G3”. In this case, the notification device 102 displays on the display 103 that the disease with the disease name B1 has developed in the livestock A3 that is equal to or greater than the threshold value Hb.
 ここで、発症期間分遡った時点の計測結果N2を取得するようにしている点について補足しておく。例えば、発症期間を7日とする。病名B1の病気が6日前に家畜A1に発症しているとすると、現在の家畜A1の発病を判定する上で、少なくとも発症期間分遡ることにより、健康時における家畜A1の計測結果N2を取得できる。一方、例えば、6日といった発症期間よりも短い日数遡った時点の計測結果N2を取得したとすると、既に病気が発症しているときの計測結果N2を取得するおそれがあり、健康時の計測結果N2を用いた計測結果の比較ができなくなってしまうことがある。そのため、実施の形態では、発症期間分遡った時点の計測結果N2を取得するようにしている。 Suppose here that the measurement result N2 obtained at the time of the onset period is acquired. For example, the onset period is 7 days. Assuming that the disease of the disease name B1 has developed in the domestic animal A1 6 days ago, in determining the current onset of the domestic animal A1, the measurement result N2 of the domestic animal A1 at the time of health can be acquired by going back at least the onset period. . On the other hand, for example, if the measurement result N2 at the time point that is shorter than the onset period such as 6 days is acquired, there is a possibility of acquiring the measurement result N2 when the disease has already developed, and the measurement result at the time of health. It may become impossible to compare measurement results using N2. For this reason, in the embodiment, the measurement result N2 at the time point back by the onset period is acquired.
 なお、病名B1の病気が10日前に家畜A2に発症しているとすると、発症期間分遡った際の家畜A2の計測結果N2は、発症時のものとなる。ただし、発症期間は7日であるため、家畜Abに病名B1の発病が確認された現在では、既に健康状態に戻っていることになる。なお、この場合、発症期間分遡った際に発病している家畜A2についても、N1とN2の差分や比率などから病気から回復したものと判定することも可能である。 In addition, if the disease of the disease name B1 has developed in the domestic animal A2 10 days ago, the measurement result N2 of the domestic animal A2 when going back the onset period will be the one at the time of onset. However, since the onset period is 7 days, at the present time when the disease name B1 is confirmed to occur in the livestock Ab, it has already returned to a healthy state. In this case, it is also possible to determine that the domestic animal A2 that has become sick when going back by the onset period has recovered from the disease from the difference or ratio between N1 and N2.
 以上説明した、実施の形態の報知方法によれば、家畜Abの確認時に、他の家畜A1~Anの現在の歩数と現在から同病種の発症期間分遡った時の歩数との差分が、家畜Abと同様の値となった場合に他の家畜A1~Anの発病を判断することができる。これにより、発病した家畜Abと同病種の病気が発症している他の家畜A1~Anを発見することができるとともに、他の家畜A1~Anが病気に感染した可能性も示唆することができる。 According to the notification method of the embodiment described above, when the livestock Ab is confirmed, the difference between the current number of steps of the other livestock A1 to An and the number of steps when going back from the present time by the onset period of the same disease type, When the value is similar to that of the domestic animal Ab, it is possible to determine the onset of the other domestic animals A1 to An. As a result, it is possible to discover other domestic animals A1 to An in which the disease of the same disease species as the diseased domestic animal Ab has developed, and to suggest that other domestic animals A1 to An may have been infected with the disease. it can.
(報知システム200のシステム構成例)
 つぎに、報知システム200のシステム構成例について説明する。図2は、報知システム200のシステム構成例を示す説明図である。図2において、報知システム200は、複数の通信機101と、報知装置102と、複数の中継機211と、クライアント装置230と、を含む。
(System configuration example of the notification system 200)
Next, a system configuration example of the notification system 200 will be described. FIG. 2 is an explanatory diagram illustrating a system configuration example of the notification system 200. In FIG. 2, the notification system 200 includes a plurality of communication devices 101, a notification device 102, a plurality of relay devices 211, and a client device 230.
 報知システム200において、通信機101および中継機211は、無線通信ネットワーク210を介して接続されている。通信機101および中継機211は、自機を中心とした所定範囲、例えば自機を中心とした半径100mの範囲を、無線通信ネットワーク210による通信が可能な通信エリアとして有している。通信機101および中継機211は、通信可能な位置関係であった場合に無線通信ネットワーク210により接続される。例えば、無線通信ネットワーク210には、RFID(Radio Frequency IDentification)などの近距離無線通信を適用することができる。 In the notification system 200, the communication device 101 and the relay device 211 are connected via a wireless communication network 210. The communication device 101 and the relay device 211 have a predetermined range centered on the own device, for example, a range with a radius of 100 m centered on the own device as a communication area in which communication by the wireless communication network 210 is possible. The communication device 101 and the relay device 211 are connected by the wireless communication network 210 when the positional relationship is communicable. For example, near field communication such as RFID (Radio Frequency IDentification) can be applied to the wireless communication network 210.
 また、中継機211、報知装置102およびクライアント装置230は、ネットワーク220を介して接続されている。例えば、ネットワーク220は、インターネット、LAN(Local Area Network)、WAN(Wide Area Network)などである。 In addition, the relay 211, the notification device 102, and the client device 230 are connected via the network 220. For example, the network 220 is the Internet, a LAN (Local Area Network), a WAN (Wide Area Network), or the like.
 通信機101は、計測結果情報テーブル201などを有しており、農場Fで飼育された各々の家畜Aに装着された可搬型のコンピュータである。通信機101は、自機が装着された家畜Aの歩数を計測する計測機能、および無線通信ネットワーク210による通信機能を有している。例えば、通信機101は、無線通信ネットワーク210による通信機能が付加された歩数計などを適用することができる。なお、計測結果情報テーブル201の記憶内容については図6を用いて後述する。 The communication device 101 has a measurement result information table 201 and the like, and is a portable computer attached to each livestock A raised on the farm F. The communication device 101 has a measuring function for measuring the number of steps of the livestock A to which the own device is attached and a communication function by the wireless communication network 210. For example, the communication device 101 can apply a pedometer to which a communication function by the wireless communication network 210 is added. The contents stored in the measurement result information table 201 will be described later with reference to FIG.
 中継機211は、農場Fの敷地内に設置され、無線通信ネットワーク210による通信機能およびネットワーク220による通信機能を有するコンピュータである。複数の中継機211は、それぞれ異なる設置位置に設置されている。 The relay machine 211 is a computer that is installed in the premises of the farm F and has a communication function using the wireless communication network 210 and a communication function using the network 220. The plurality of relay machines 211 are installed at different installation positions.
 報知装置102は、歩数情報DB202、疾病情報DB203、および作業者情報DB204などを有しており、ネットワーク220による通信機能を有するコンピュータである。例えば、報知装置102には、クラウドコンピューティングシステムに含まれるサーバや、農場Fの経営者や作業者によって使用されるPC(パーソナル・コンピュータ)、ノートPCなどを適用することができる。なお、歩数情報DB202、疾病情報DB203、および作業者情報DB204の記憶内容については図7~図9を用いて後述する。 The notification device 102 includes a step count information DB 202, a disease information DB 203, a worker information DB 204, and the like, and is a computer having a communication function via the network 220. For example, a server included in a cloud computing system, a PC (personal computer) used by a farm F manager or a worker, a notebook PC, or the like can be applied to the notification device 102. The contents stored in the step count information DB 202, the disease information DB 203, and the worker information DB 204 will be described later with reference to FIGS.
 クライアント装置230は、ネットワーク220による通信機能を有するコンピュータである。例えば、クライアント装置230には、農場Fの作業者によって使用されるPCやノートPC、携帯電話、スマートフォンなどを適用することができる。 The client device 230 is a computer having a communication function via the network 220. For example, a PC, a notebook PC, a mobile phone, a smartphone, or the like used by the farm F worker can be applied to the client device 230.
(通信機101のハードウェア構成例)
 つぎに、通信機101のハードウェア構成例について説明する。図3は、通信機101のハードウェア構成例を示すブロック図である。図3において、通信機101は、CPU(Central Processing Unit)301と、メモリ302と、I/F(Interface)303と、センサ304と、タイマ305とを有する。また、各構成部はバス300によってそれぞれ接続されている。
(Example of hardware configuration of communication device 101)
Next, a hardware configuration example of the communication device 101 will be described. FIG. 3 is a block diagram illustrating a hardware configuration example of the communication device 101. In FIG. 3, the communication device 101 includes a CPU (Central Processing Unit) 301, a memory 302, an I / F (Interface) 303, a sensor 304, and a timer 305. Each component is connected by a bus 300.
 ここで、CPU301は、通信機101の全体の制御を司る。メモリ302は、ROM(Read Only Memory)、RAM(Random Access Memory)およびフラッシュROMなどを含む。ROMおよびフラッシュROMは、例えば、ブートプログラムなどの各種プログラムを記憶する。RAMは、CPU301のワークエリアとして使用される。 Here, the CPU 301 controls the entire communication device 101. The memory 302 includes a ROM (Read Only Memory), a RAM (Random Access Memory), a flash ROM, and the like. The ROM and the flash ROM store various programs such as a boot program, for example. The RAM is used as a work area for the CPU 301.
 I/F303は、通信回線を通じて無線通信ネットワーク210に接続され、無線通信ネットワーク210を介して他の装置(例えば中継機211)に接続される。そして、I/F303は、無線通信ネットワーク210と内部のインターフェースを司り、外部装置からのデータの入出力を制御する。 The I / F 303 is connected to the wireless communication network 210 through a communication line, and is connected to another device (for example, the repeater 211) via the wireless communication network 210. The I / F 303 controls an internal interface with the wireless communication network 210 and controls data input / output from an external device.
 センサ304は、通信機101の挙動を検出するための情報を出力する。例えば、センサ304は、ジャイロセンサや3軸加速度センサなどによって実現され、通信機101に加速度が生じた場合に、生じた加速度に応じた情報を出力する。センサ304により、通信機101は歩数計の機能を有している。 The sensor 304 outputs information for detecting the behavior of the communication device 101. For example, the sensor 304 is realized by a gyro sensor, a three-axis acceleration sensor, or the like, and outputs information corresponding to the generated acceleration when the communication device 101 generates acceleration. With the sensor 304, the communication device 101 has a pedometer function.
 タイマ305は、計時機能を有する。例えば、タイマ305は実時間を計時する。また、タイマ305は所定のタイミングからの経過時間を計時してもよい。 Timer 305 has a timekeeping function. For example, the timer 305 measures real time. Further, the timer 305 may count the elapsed time from a predetermined timing.
(中継機211のハードウェア構成例)
 つぎに、中継機211のハードウェア構成例について説明する。図4は、中継機211のハードウェア構成例を示すブロック図である。図4において、中継機211は、CPU401と、メモリ402と、I/F403と、I/F404と、を有する。また、各構成部はバス400によってそれぞれ接続されている。
(Hardware configuration example of repeater 211)
Next, a hardware configuration example of the repeater 211 will be described. FIG. 4 is a block diagram illustrating a hardware configuration example of the repeater 211. In FIG. 4, the relay unit 211 includes a CPU 401, a memory 402, an I / F 403, and an I / F 404. Each component is connected by a bus 400.
 ここで、CPU401は、中継機211の全体の制御を司る。メモリ402は、ROM、RAMおよびフラッシュROMなどを含む。ROMおよびフラッシュROMは、例えば、ブートプログラムなどの各種プログラムを記憶する。RAMは、CPU401のワークエリアとして使用される。 Here, the CPU 401 controls the entire repeater 211. The memory 402 includes a ROM, a RAM, a flash ROM, and the like. The ROM and the flash ROM store various programs such as a boot program, for example. The RAM is used as a work area for the CPU 401.
 I/F403は、通信回線を通じて無線通信ネットワーク210に接続され、無線通信ネットワーク210を介して、例えば通信機101などの他の装置に接続される。また、I/F404は、通信回線を通じてネットワーク220に接続され、ネットワーク220を介して、例えば報知装置102などの他の装置に接続される。そして、I/F403およびI/F404は、無線通信ネットワーク210およびネットワーク220と内部のインターフェースを司り、外部装置からのデータの入出力を制御する。 The I / F 403 is connected to the wireless communication network 210 via a communication line, and is connected to another device such as the communication device 101 via the wireless communication network 210. The I / F 404 is connected to the network 220 through a communication line, and is connected to another device such as the notification device 102 via the network 220. The I / F 403 and the I / F 404 serve as an internal interface with the wireless communication network 210 and the network 220, and control input / output of data from an external device.
(報知装置102等のハードウェア構成例)
 つぎに、報知装置102およびクライアント装置230のハードウェア構成例について説明する。ここでは、報知装置102およびクライアント装置230を、単に「報知装置102等」と表記する。
(Hardware configuration example of the notification device 102)
Next, a hardware configuration example of the notification device 102 and the client device 230 will be described. Here, the notification device 102 and the client device 230 are simply referred to as “notification device 102 or the like”.
 図5は、報知装置102等のハードウェア構成例を示すブロック図である。図5において、報知装置102等は、CPU501と、ROM502と、RAM503と、磁気ディスクドライブ504と、磁気ディスク505と、光ディスクドライブ506と、光ディスク507と、ディスプレイ508(103)と、I/F509と、キーボード510と、マウス511と、スキャナ512と、プリンタ513と、を有している。また、各構成部はバス500によってそれぞれ接続されている。 FIG. 5 is a block diagram illustrating a hardware configuration example of the notification device 102 and the like. In FIG. 5, the notification device 102 and the like include a CPU 501, a ROM 502, a RAM 503, a magnetic disk drive 504, a magnetic disk 505, an optical disk drive 506, an optical disk 507, a display 508 (103), and an I / F 509. , A keyboard 510, a mouse 511, a scanner 512, and a printer 513. Each component is connected by a bus 500.
 ここで、CPU501は、報知装置102等の全体の制御を司る。ROM502は、ブートプログラムなどのプログラムを記憶している。RAM503は、CPU501のワークエリアとして使用される。磁気ディスクドライブ504は、CPU501の制御にしたがって磁気ディスク505に対するデータのリード/ライトを制御する。磁気ディスク505は、磁気ディスクドライブ504の制御で書き込まれたデータを記憶する。 Here, the CPU 501 governs overall control of the notification device 102 and the like. The ROM 502 stores a program such as a boot program. The RAM 503 is used as a work area for the CPU 501. The magnetic disk drive 504 controls reading / writing of data with respect to the magnetic disk 505 according to the control of the CPU 501. The magnetic disk 505 stores data written under the control of the magnetic disk drive 504.
 光ディスクドライブ506は、CPU501の制御にしたがって光ディスク507に対するデータのリード/ライトを制御する。光ディスク507は、光ディスクドライブ506の制御で書き込まれたデータを記憶したり、光ディスク507に記憶されたデータをコンピュータに読み取らせたりする。 The optical disk drive 506 controls the reading / writing of data with respect to the optical disk 507 according to the control of the CPU 501. The optical disk 507 stores data written under the control of the optical disk drive 506, or causes the computer to read data stored on the optical disk 507.
 ディスプレイ508(103)は、カーソル、アイコンあるいはツールボックスをはじめ、文書、画像、機能情報などのデータを表示する。ディスプレイ508(103)としては、例えば、CRT、TFT液晶ディスプレイ、プラズマディスプレイなどを採用することができる。 Display 508 (103) displays data such as a document, an image, and function information as well as a cursor, icon or tool box. As the display 508 (103), for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be employed.
 I/F509は、通信回線を通じてネットワーク220に接続され、ネットワーク220を介して他の装置(例えば、中継機211やクライアント装置230)に接続される。そして、I/F509は、ネットワーク220と内部のインターフェースを司り、外部装置からのデータの入出力を制御する。I/F509には、例えば、モデムやLANアダプタなどを採用することができる。 The I / F 509 is connected to the network 220 via a communication line, and is connected to other devices (for example, the relay device 211 and the client device 230) via the network 220. The I / F 509 manages an internal interface with the network 220 and controls data input / output from an external device. For example, a modem or a LAN adapter can be adopted as the I / F 509.
 キーボード510は、文字、数字、各種指示などの入力のためのキーを有し、データの入力を行う。また、タッチパネル式の入力パッドやテンキーなどであってもよい。マウス511は、カーソルの移動や範囲選択、あるいはウィンドウの移動やサイズの変更などを行う。ポインティングデバイスとして同様に機能を有するものであれば、トラックボールやジョイスティックなどであってもよい。 The keyboard 510 has keys for inputting characters, numbers, various instructions, etc., and inputs data. Moreover, a touch panel type input pad or a numeric keypad may be used. The mouse 511 moves the cursor, selects a range, moves the window, changes the size, and the like. A trackball or a joystick may be used as long as they have the same function as a pointing device.
 スキャナ512は、画像を光学的に読み取り、報知装置102内に画像データを取り込む。なお、スキャナ512は、OCR(Optical Character Reader)機能を持たせてもよい。また、プリンタ513は、画像データや文書データを印刷する。プリンタ513には、例えば、レーザプリンタやインクジェットプリンタを採用することができる。 The scanner 512 optically reads an image and takes in the image data into the notification device 102. The scanner 512 may have an OCR (Optical Character Reader) function. The printer 513 prints image data and document data. As the printer 513, for example, a laser printer or an ink jet printer can be adopted.
 なお、例えば、報知装置102は、上述した構成部のうち、光ディスクドライブ506や光ディスク507やディスプレイ508(103)やマウス511やスキャナ512やプリンタ513を有していなくてもよい。また、クライアント装置230は、光ディスクドライブ506や光ディスク507やマウス511やスキャナ512やプリンタ513を有していなくてもよい。 For example, the notification apparatus 102 may not include the optical disk drive 506, the optical disk 507, the display 508 (103), the mouse 511, the scanner 512, and the printer 513 among the above-described components. The client device 230 may not include the optical disk drive 506, the optical disk 507, the mouse 511, the scanner 512, and the printer 513.
(通信機101が記憶している情報の一例)
 つぎに、通信機101が記憶している情報の一例について説明する。上述したように、通信機101は計測結果情報テーブル201を記憶している。例えば、計測結果情報テーブル201は、通信機101のメモリ302によって実現される。
(An example of information stored in the communication device 101)
Next, an example of information stored in the communication device 101 will be described. As described above, the communication device 101 stores the measurement result information table 201. For example, the measurement result information table 201 is realized by the memory 302 of the communication device 101.
<計測結果情報テーブル201の記憶内容の一例>
 図6は、計測結果情報テーブル201の記憶内容の一例を示す説明図である。図6において、計測結果情報テーブル201は、計測日時、計測値のフィールドを有する。これらのフィールドに情報を設定することにより、計測結果情報テーブル201には計測日時と計測値との組み合わせごとの計測結果情報600-1~600-6がレコードとして記憶される。
<Example of Storage Contents of Measurement Result Information Table 201>
FIG. 6 is an explanatory diagram showing an example of the stored contents of the measurement result information table 201. In FIG. 6, the measurement result information table 201 has fields of measurement date and time and measurement value. By setting information in these fields, the measurement result information table 201 stores measurement result information 600-1 to 600-6 for each combination of measurement date and time and measurement value as a record.
 ここで、計測日時は、過去の計測結果情報の送信タイミングの日時を表す。本実施の形態の場合、一例として、計測日時は、直近の6回分の計測結果情報の送信タイミングの日時を表している。また、計測値は、過去の計測結果情報の送信タイミングの時点における家畜Aの歩数の計測値を表す。本実施の形態の場合、一例として、計測値は、直近の6回分の計測結果情報の送信タイミングの時点における家畜Aの歩数の計測値を表している。 Here, the measurement date / time represents the date / time of the transmission timing of the past measurement result information. In the case of the present embodiment, as an example, the measurement date and time represents the date and time of transmission timing of the latest six measurement result information. The measurement value represents the measurement value of the number of steps of the livestock A at the time of the transmission timing of the past measurement result information. In the case of the present embodiment, as an example, the measurement value represents the measurement value of the number of steps of livestock A at the time of the transmission timing of the latest six measurement result information.
 例えば、通信機101は、計測値を「0」に設定したタイミングなど、所定のタイミングから現在に至るまでの家畜Aの歩数を、現在の計測値として累積したものである。家畜Aが1歩歩行するごとに、通信機101に瞬間的に加速度が生じる。通信機101は、この加速度をセンサ304により検出すると、現在の計測値を「+1」カウントアップする。 For example, the communication device 101 accumulates the number of steps of the livestock A from a predetermined timing to the present, such as the timing when the measurement value is set to “0”, as the current measurement value. Every time the livestock A walks one step, the communication device 101 is instantaneously accelerated. When the acceleration is detected by the sensor 304, the communication device 101 increments the current measurement value by “+1”.
 そして、通信機101は、タイマ305の計時結果に基づいて、計測結果情報の送信タイミングとなると、この送信タイミングに対応する計測日時に、現在の計測値を関連付けた計測結果情報を記憶する。送信タイミングは、例えば毎時00分としている。 And the communication apparatus 101 memorize | stores the measurement result information which linked | related the present measurement value with the measurement date corresponding to this transmission timing, when it becomes a transmission timing of measurement result information based on the timing result of the timer 305. The transmission timing is, for example, 00 minutes every hour.
 図6において、計測結果情報600-1は、「2012年2月20日6時00分」の時点での計測値が「C6(C6は正の整数)」であったことを表している。計測結果情報を記憶すると、通信機101は、計測結果情報テーブル201に記憶された各計測結果情報を、中継機211を介して、報知装置102に送信する。 In FIG. 6, the measurement result information 600-1 represents that the measurement value at the time of “February 20, 2012, 6:00” was “C6 (C6 is a positive integer)”. When the measurement result information is stored, the communication device 101 transmits each measurement result information stored in the measurement result information table 201 to the notification device 102 via the relay device 211.
 なお、ここでは、通信機101は直近の6回分の計測結果情報を記憶している例を説明したが、これに限らない。通信機101は、過去の計測結果情報を記憶していなくてもよい。例えば、この場合、通信機101は、計測結果情報の送信タイミングとなると、現在の計測値を計測結果情報として送信し、当該計測結果情報を削除してもよい。このような構成にすることにより、計測結果情報の記憶にあたって、通信機101が記憶するデータ量を削減することができる。 In addition, although the communication apparatus 101 demonstrated the example which memorize | stored the measurement result information for the latest 6 times here, it is not restricted to this. The communication device 101 may not store past measurement result information. For example, in this case, when the transmission timing of the measurement result information comes, the communication device 101 may transmit the current measurement value as the measurement result information and delete the measurement result information. With this configuration, it is possible to reduce the amount of data stored in the communication device 101 when storing the measurement result information.
 また、ここでは、通信機101が計測結果情報テーブル201に記憶された各計測結果情報を送信するようにしたが、これに限らない。例えば、通信機101は、直近の1回分の計測結果情報のみ、具体的には、図6の例では計測結果情報600-1のみ、を送信するようにしてもよい。このような構成にすることにより、計測結果情報の送信にあたって、通信機101が送信するデータ量を削減することができる。 Further, here, the communication device 101 transmits each measurement result information stored in the measurement result information table 201, but the present invention is not limited to this. For example, the communication device 101 may transmit only the latest measurement result information, specifically, only the measurement result information 600-1 in the example of FIG. With such a configuration, the amount of data transmitted by the communication device 101 can be reduced when transmitting measurement result information.
 さらに、通信機101は、直近の1回分の計測結果情報と、過去の送信タイミングで送信に失敗した計測結果情報とを送信するようにしてもよい。例えば、この場合、中継機211は、通信機101から計測結果情報を受信すると、計測結果情報を受信したことを表す受信成功情報を通信機101に送信する。通信機101は、計測結果情報を送信してから所定期間内に受信成功情報を受信しなければ、この計測結果情報の送信に失敗したと判定する。 Furthermore, the communication device 101 may transmit the latest measurement result information for one time and the measurement result information for which transmission failed at the past transmission timing. For example, in this case, when receiving the measurement result information from the communication device 101, the relay device 211 transmits successful reception information indicating that the measurement result information has been received to the communication device 101. The communication device 101 determines that the transmission of the measurement result information has failed if the reception success information is not received within a predetermined period after the measurement result information is transmitted.
 そして、この場合、通信機101は、送信に失敗したと判定した計測結果情報に、送信が失敗したことを表す情報を関連付けて記憶しておく。その後、計測結果情報の送信タイミングとなると、通信機101は、直近の1回分の計測結果情報と、送信に失敗した計測結果情報とを送信する。このような構成にすることにより、計測結果情報の送信にあたって、通信機101が送信するデータ量を削減しながら、計測結果情報を確実に中継機211に送信することができる。 In this case, the communication device 101 stores information indicating that the transmission has failed in association with the measurement result information determined to have failed to be transmitted. Thereafter, when the transmission timing of the measurement result information comes, the communication device 101 transmits the latest measurement result information for one time and the measurement result information for which transmission failed. With this configuration, the measurement result information can be reliably transmitted to the relay 211 while reducing the amount of data transmitted by the communication device 101 when transmitting the measurement result information.
(報知装置102が記憶している情報の一例)
 つぎに、報知装置102が記憶している情報の一例について説明する。上述したように、報知装置102は、歩数情報DB202、疾病情報DB203、および作業者情報DB204、を記憶している。各種DB202,203,204は、報知装置102のROM502、RAM503、磁気ディスク505、光ディスク507などの記憶部によって実現される。
(Example of information stored in the notification device 102)
Next, an example of information stored in the notification device 102 will be described. As described above, the notification device 102 stores the step count information DB 202, the disease information DB 203, and the worker information DB 204. The various DBs 202, 203, and 204 are realized by a storage unit such as the ROM 502, the RAM 503, the magnetic disk 505, and the optical disk 507 of the notification device 102.
<歩数情報DB202の記憶内容の一例>
 図7は、歩数情報DB202の記憶内容の一例を示す説明図である。図7において、歩数情報DB202は、通信機IDごとに記憶されている。歩数情報DB202は、日付フィールドと、時間帯ごとの歩数フィールドとを有する。これらの各フィールドに情報を設定することにより、歩数情報DB202には日付と歩数履歴との組み合わせごとの歩数情報700-1~700-3等がレコードとして記憶される。
<An example of the contents stored in the step count information DB 202>
FIG. 7 is an explanatory diagram showing an example of the contents stored in the step count information DB 202. In FIG. 7, the step count information DB 202 is stored for each communication device ID. The step count information DB 202 has a date field and a step count field for each time zone. By setting information in these fields, the step count information DB 202 stores step count information 700-1 to 700-3 for each combination of date and step count history as records.
 ここで、日付は、歩数を計測された日付、例えば年月日を表す。歩数は、計測結果情報に基づく家畜Aの歩数を表す。歩数フィールドは、例えば、「0~1時」、「1~2時」、「2~3時」、…、「22~23時」、「23~24時」といったように、時間帯ごとのフィールドが設けられている。歩数フィールドには、各時間帯における家畜Aの歩数を表す情報が記憶される。例えば、報知装置102は、各時間の末尾の時刻における計測値から先頭の時刻における計測値を減算した値を、家畜Aの歩数として歩数フィールドに記憶する。 Here, the date represents the date when the number of steps is measured, for example, the date. The number of steps represents the number of steps of livestock A based on the measurement result information. The number of steps field is, for example, “0-1 o'clock”, “1-2 o'clock”, “2-3 o'clock”,..., “22-23 o'clock”, “23-24 o'clock”, etc. A field is provided. Information representing the number of steps of the livestock A in each time zone is stored in the number of steps field. For example, the notification device 102 stores a value obtained by subtracting the measurement value at the start time from the measurement value at the end time of each time as the number of steps of the livestock A in the step count field.
 例えば、報知装置102は、「2012年2月20日2時00分」における計測値が「C2」であり、一つ前の「2012年2月20日1時00分」における計測値が「C1」であることを表す情報を含む計測結果情報を取得したとする。この場合、報知装置102は、日付が「2012年2月20日」、時刻が「2時」で特定される歩数フィールドに、「C2」から「C1」を減算した「N302(=C2-C1)」を記憶する。 For example, the notification device 102 has a measurement value “C2” on “February 20, 2012 at 2:00” and a measurement value on the previous “February 20, 2012 1:00”. It is assumed that measurement result information including information indicating “C1” is acquired. In this case, the notification device 102 subtracts “C1” from “C2” in the step number field identified by the date “February 20, 2012” and the time “2 o'clock”, and “N302 (= C2-C1 ) ".
 例えば、歩数情報700-1は、「0~1時」のフィールドに「N301」が、記憶され「1~2時」のフィールドに「N302」が記憶されている。各歩数情報は、例えば3ヶ月といった所定期間、歩数情報DB202に記憶される。 For example, in the step count information 700-1, “N301” is stored in the “0 to 1 o'clock” field, and “N302” is stored in the “1 to 2 o'clock” field. Each step count information is stored in the step count information DB 202 for a predetermined period such as 3 months.
 なお、歩数フィールドに、各時刻において中継機211から計測結果情報を受信した際の、送信元の中継機211を識別するための中継機IDが記憶される中継機IDフィールドを設けるようにしてもよい。例えば、中継機IDフィールドに、「2012年2月20日2時00分」に計測結果情報を受信した際、当該計測結果情報の送信元となる中継機211の中継機IDを記憶するようにしてもよい。このようにすれば、各家畜Aが時間帯ごとに、どの通信エリアに位置しているのかを把握することができる。歩数情報DB202は、通信機IDごとに、それぞれ上述した情報を記憶する。 In the step count field, a repeater ID field for storing a repeater ID for identifying the transmission repeater 211 when the measurement result information is received from the repeater 211 at each time may be provided. Good. For example, when the measurement result information is received at “2:00 on February 20, 2012” in the relay machine ID field, the relay machine ID of the relay machine 211 that is the transmission source of the measurement result information is stored. May be. If it does in this way, it can grasp | ascertain in which communication area each domestic animal A is located for every time slot | zone. The step count information DB 202 stores the above-described information for each communication device ID.
<疾病情報DB203の記憶内容の一例>
 図8は、疾病情報DB203の記憶内容の一例を示す説明図である。図8において、疾病情報DB203は、病名フィールド、発症期間フィールド、および緊急度フィールドを有する。これらの各フィールドに情報を予め設定することにより、病名と、発症期間と、緊急度との組み合わせごとの疾病情報800-1~800-3等がレコードとして記憶されている。
<Example of stored contents of disease information DB 203>
FIG. 8 is an explanatory diagram showing an example of the contents stored in the disease information DB 203. In FIG. 8, the disease information DB 203 has a disease name field, an onset period field, and an urgency level field. By setting information in these fields in advance, disease information 800-1 to 800-3 for each combination of disease name, onset period, and urgency is stored as a record.
 病名とは、家畜Aに発症する病気の種別である。発症期間とは、各病気が発症した場合に、発症してから完治するまでの期間である。発症期間は、病名ごとに異なる期間となっている。緊急度とは、早急に処置を講ずる必要があるかの度合いを表している。例えば、投薬のみが必要な場合には緊急度が「小」であり、治療が必要な場合には緊急度が「中」であり、他の家畜Aからの隔離が必要な場合には「大」となっている。 The disease name is the type of disease that occurs in livestock A. The onset period is a period from onset to complete cure when each disease develops. The onset period is different for each disease name. The degree of urgency represents the degree of necessity of taking action immediately. For example, the urgency level is “small” when only medication is required, the urgency level is “medium” when treatment is required, and “high” level when isolation from other livestock A is required. "
 例えば、疾病情報800-1は、病名「創傷性胃炎」の発症期間が「7日」であり、緊急度が「中」であることを表している。疾病情報DB203には、このような疾病情報が病名分、記憶されている。 For example, the disease information 800-1 represents that the onset period of the disease name “wound gastritis” is “7 days” and the urgency level is “medium”. The disease information DB 203 stores such disease information for each disease name.
<作業者情報DB204の記憶内容の一例>
 図9は、作業者情報DB204の記憶内容の一例を示す説明図である。図9において、作業者情報DB204は、通信機IDフィールド、作業者IDフィールド、およびアドレス情報フィールドを有する。これらの各フィールドに情報を予め設定することにより、通信機IDと、作業者IDと、アドレス情報との組み合わせごとの作業者情報900-1~900-nがレコードとして記憶されている。
<Example of contents stored in worker information DB 204>
FIG. 9 is an explanatory diagram showing an example of the contents stored in the worker information DB 204. In FIG. 9, the worker information DB 204 has a communication device ID field, a worker ID field, and an address information field. By setting information in these fields in advance, worker information 900-1 to 900-n for each combination of the communication device ID, worker ID, and address information is stored as a record.
 通信機IDは、通信機101に固有の識別情報であり、家畜Aを識別するための情報である。作業者IDは、家畜Aを管理するための作業者固有の識別情報である。なお、作業者とは、例えば共同経営などにおける各家畜Aの所有者や、各家畜Aを飼育する飼育員などである。アドレス情報は、各作業者が所有するクライアント装置230のメールアドレスである。 The communication device ID is identification information unique to the communication device 101 and is information for identifying the livestock A. The worker ID is identification information unique to the worker for managing the livestock A. The worker is, for example, the owner of each livestock A in a joint management or the like, or a keeper who raises each livestock A. The address information is a mail address of the client device 230 owned by each worker.
 例えば、作業者情報900-1は、通信機ID「G1」の家畜Aを所有する作業者の作業者IDが「W1」であり、アドレス情報が「W1@xxx.xx」であることを表している。作業者情報DB204には、このような疾病情報が通信機ID分、記憶されている。 For example, the worker information 900-1 indicates that the worker ID of the worker who owns the livestock A having the communication device ID “G1” is “W1” and the address information is “W1@xxx.xx”. ing. In the worker information DB 204, such disease information is stored for the communication device ID.
(報知装置102の機能的構成例)
 図10は、報知装置102の機能的構成を示すブロック図である。図10において、報知装置102は、受付部1001と、第1記憶部1002と、特定部1003と、第2記憶部1004と、取得部1005と、判定部1006と、出力部1007と、算出部1008と、第3記憶部1009とを含む構成である。各機能部(受付部1001~第3記憶部1009)は、例えば、図5に示した磁気ディスク505などに記憶されたプログラムをCPU501に実行させることにより、または、磁気ディスク505、I/F509、キーボード510などにより、その機能を実現する。各機能部の処理結果は、例えば、RAM503に記憶される。
(Functional configuration example of the notification device 102)
FIG. 10 is a block diagram illustrating a functional configuration of the notification device 102. In FIG. 10, the notification device 102 includes a reception unit 1001, a first storage unit 1002, a specification unit 1003, a second storage unit 1004, an acquisition unit 1005, a determination unit 1006, an output unit 1007, and a calculation unit. 1008 and a third storage unit 1009. Each functional unit (accepting unit 1001 to third storage unit 1009), for example, causes the CPU 501 to execute a program stored in the magnetic disk 505 or the like shown in FIG. The function is realized by the keyboard 510 or the like. The processing result of each functional unit is stored in the RAM 503, for example.
 受付部1001は、家畜A群のいずれかの家畜Abに発症した病気の病名と、病気の発症が確認された第1の時点と、を受け付ける。家畜Aに病気が発症したか否かは、例えば、獣医などによる定期検診や、作業者の目視観察などによって行われる。病名とは、家畜Aに発症する病気の種別であり、例えば、「創傷性胃炎」、「第四胃変位」、「結核」などがある。第1の時点は、家畜Abの病気の発症が確認された時点である。病気の発症が確認された時点とは、発病したときではなく、既に発病している家畜Abが定期検診などで発病しているものと確認されたときである。 The accepting unit 1001 accepts the name of a disease that has occurred in any livestock Ab of the livestock group A and the first time point when the onset of the disease has been confirmed. Whether or not a disease has occurred in livestock A is determined by, for example, a periodic checkup by a veterinarian or the like, or visual observation by an operator. The disease name is a type of disease that develops in livestock A, and includes, for example, “wound gastritis”, “fourth stomach displacement”, “tuberculosis”, and the like. The first time point is a time point when the onset of the disease of the livestock Ab is confirmed. The time when the onset of the disease is confirmed is not the time when the disease has started, but when the livestock Ab that has already become diseased is confirmed to have been caused by a regular checkup or the like.
 第1記憶部1002は、病気の病名と病気の発症期間とを対応付けて記憶する。発症期間とは、病気が発症してから完治するまでの期間であり、病名ごとに異なる。例えば、発症期間は、「創傷性胃炎」の場合「7日」、「第四胃変位」の場合「14日」、「結核」の場合「30日」としている。第1記憶部1002は、例えば、図8に示した疾病情報DB203を記憶する。 The first storage unit 1002 stores a disease name and a disease onset period in association with each other. The onset period is the period from the onset of illness to complete cure, and varies from disease name to disease name. For example, the onset period is “7 days” for “wound gastritis”, “14 days” for “displacement of the fourth stomach”, and “30 days” for “tuberculosis”. The first storage unit 1002 stores, for example, the disease information DB 203 illustrated in FIG.
 特定部1003は、第1記憶部1002を参照して、受付部1001によって受け付けられた病名に対応する発症期間を特定する。例えば、受付部1001に「創傷性胃炎」が受け付けられた場合、特定部1003は、発症期間として「創傷性胃炎」に対応する「7日」を特定する。 The identifying unit 1003 identifies the onset period corresponding to the disease name accepted by the accepting unit 1001 with reference to the first storage unit 1002. For example, when “wound gastritis” is received by the reception unit 1001, the specifying unit 1003 specifies “7 days” corresponding to “wound gastritis” as the onset period.
 第2記憶部1004は、家畜A群のうちの発病した家畜Abとは異なる他の家畜A1~Anの歩数の計測結果情報を記憶する。第2記憶部1004は、具体的には、例えば3ヶ月といった所定期間の各日の時間帯ごとに、各家畜A1~Anの歩数である計測結果情報を記憶している。第2記憶部1004は、例えば、図7に示した歩数情報DB202を記憶する。 The second storage unit 1004 stores the measurement result information of the number of steps of other domestic animals A1 to An different from the diseased domestic animal Ab in the domestic animal group A. Specifically, the second storage unit 1004 stores measurement result information that is the number of steps of each domestic animal A1 to An for each time zone of each day of a predetermined period such as 3 months. The second storage unit 1004 stores, for example, the step count information DB 202 illustrated in FIG.
 取得部1005は、第2記憶部1004の中から、第1の時点を含む第1の時間帯の他の家畜Anの計測結果N1を取得する。また、取得部1005は、第1の時点から少なくとも特定部1003によって特定された発症期間の時間分遡った第2の時点を含む第2の時間帯の他の家畜Ai(i=1~n)の計測結果N2を取得する。言い換えれば、取得部1005は、第1の時点から最も近い、健康状態の他の家畜Aiの計測結果N2を取得する。 The acquisition unit 1005 acquires the measurement result N1 of the other livestock An in the first time period including the first time point from the second storage unit 1004. In addition, the acquisition unit 1005 may have another livestock Ai (i = 1 to n) in the second time period including the second time point that is at least the time of the onset period specified by the specifying unit 1003 from the first time point. The measurement result N2 is acquired. In other words, the acquisition unit 1005 acquires the measurement result N2 of the other livestock Ai in the healthy state that is the closest from the first time point.
 なお、健康状態での計測結果N2として説明しているのは、健康状態ではない他の家畜Aiの計測結果N2が取得されたとしても、後述する判定によって現在では健康であると判定され、発病していると判定されることはないためである。 Note that the measurement result N2 in the healthy state is described as being currently healthy according to the determination described later even if the measurement result N2 of another domestic animal Ai that is not in the healthy state is acquired. This is because it is not determined that the user is doing.
 ここで、例えば、第1の時点となる「2月20日11:50」に、家畜Abに「創傷性胃炎」が発症したとする。第1の時間帯は、第1の時点を含む計測結果情報が記憶されている時間帯であり、「2月20日11~12時」である。取得部1005は、家畜Aiを対象に、「2月20日11~12時」の計測結果N1を取得する。 Here, for example, it is assumed that “wound gastritis” develops in livestock Ab at “February 20th 11:50” which is the first time point. The first time zone is a time zone in which the measurement result information including the first time point is stored, and is “February 20, 11:00 to 12:00”. The acquisition unit 1005 acquires the measurement result N1 of “February 20, 11:00 to 12:00” for the livestock Ai.
 第2の時点は、第1の時点である「2月20日11:50」から「創傷性胃炎」の発症期間(7日)分遡ったときであり、「2月13日11:50」である。第2の時間帯は、第2の時点を含む計測結果情報が記憶されている時間帯であり、「2月13日11~12時」である。取得部1005は、家畜Aiを対象に、「2月13日11~12時」の計測結果N1を取得する。第1の時間帯と第2の時間帯とは、日にちが異なるものの同じ時間帯である。複数の家畜Aは、それぞれ生活サイクルが似通っているため、第1の時間帯と第2の時間帯とを同一の時間帯とすることにより、同一時間帯の計測結果N1,N2を比較することができる。 The second time point is a time when the onset period (7 days) of “wound gastritis” goes back from “February 20th 11:50” as the first time point, and “February 13th 11:50”. It is. The second time zone is a time zone in which the measurement result information including the second time point is stored, and is “February 13, 11:00 to 12:00”. The acquisition unit 1005 acquires the measurement result N1 of “February 13, 11:00 to 12:00” for the livestock Ai. The first time zone and the second time zone are the same time zone although the dates are different. Since a plurality of domestic animals A have similar life cycles, the measurement results N1 and N2 in the same time zone are compared by setting the first time zone and the second time zone to the same time zone. Can do.
 具体的には、判定部1006は、取得部1005によって取得された第1の時間帯の他の家畜Aiの計測結果N1と、第2の時間帯の他の家畜の計測結果N2と、閾値Hとに基づいて、家畜Abに発症した病気が他の家畜Aiに発症しているか否かを判定する。閾値Hは、家畜Abに発症した病気に固有の歩数に関する値である。閾値Hは、例えば、家畜Aiが「創傷性胃炎」に発症した場合には、「創傷性胃炎」に対応する値が用いられる。 Specifically, the determination unit 1006 includes a measurement result N1 of other livestock Ai in the first time period acquired by the acquisition unit 1005, a measurement result N2 of other livestock in the second time period, and a threshold H. Based on the above, it is determined whether or not a disease that has occurred in the domestic animal Ab has occurred in another domestic animal Ai. The threshold value H is a value related to the number of steps unique to the disease that has occurred in the livestock Ab. For example, when the domestic animal Ai develops “wound gastritis”, a value corresponding to “wound gastritis” is used as the threshold value H.
 判定部1006は、計測結果N1と計測結果N2との差分や比率などの値が閾値H以上である場合に、病名B1の病気が他の家畜Aiに発症していると判定する。例えば、比率を用いた場合、「(計測結果N1/計測結果N2)≧Hw」の場合に、家畜Aiに病気が発症していると判定する。なお、Hwは、病名ごとに異なる値である。 The determination unit 1006 determines that the disease of the disease name B1 has occurred in another domestic animal Ai when the difference or ratio between the measurement result N1 and the measurement result N2 is equal to or greater than the threshold value H. For example, when the ratio is used, when “(measurement result N1 / measurement result N2) ≧ Hw”, it is determined that a disease has occurred in the livestock Ai. Hw is a different value for each disease name.
 実施の形態では、差分を用いており、判定部1006は、計測結果N2が健康時の計測結果N1に比べて、閾値Hb以上減少している場合に、家畜Aiに病気が発症していると判定する。具体的には、報知装置102は、「N2-N1<Hb」の場合、家畜A1が健康であると判定し、「N2-N1≧Hb」の場合、家畜Aiに病気が発症していると判定する。なお、閾値Hbは、病名ごとに異なる値である。 In the embodiment, the difference is used, and the determination unit 1006 determines that the livestock Ai is ill when the measurement result N2 is smaller than the measurement result N1 when healthy by a threshold Hb or more. judge. Specifically, the notification device 102 determines that the livestock A1 is healthy when “N2-N1 <Hb”, and that the livestock Ai is ill when “N2-N1 ≧ Hb”. judge. Note that the threshold value Hb is a different value for each disease name.
 なお、閾値H以上の場合に、病気が発症していると判定することに限らず、閾値Hに近い値の場合にも病気が発症していると判定したり、また、例えば、暴れたりする症状が出る病気の場合、閾値H以下の場合に病気が発症していると判定したりしてもよい。 In addition, it is not limited to determining that the disease has occurred when the threshold value is equal to or higher than the threshold value H, but it is determined that the disease has also occurred even when the value is close to the threshold value H, or, for example, rampage occurs. In the case of an illness that causes symptoms, it may be determined that the illness has developed when the threshold is equal to or lower than H.
 出力部1007は、判定部1006によって家畜Abに発症した病気が他の家畜Aiに発症していると判定された場合、病名と他の家畜Aiの識別情報とを関連付けて出力する。他の家畜Aiの病名は、発病が確認された家畜Abの病名と同じである。出力部1007は、病名と他の家畜Aiの識別情報とを、報知装置102のディスプレイ103から表示したり、I/F509からクライアント装置230へ送信したりする。 When the determination unit 1006 determines that the disease that has occurred in the livestock Ab is occurring in the other livestock Ai, the output unit 1007 outputs the disease name and the identification information of the other livestock Ai in association with each other. The disease names of the other livestock Ai are the same as the disease names of the livestock Ab whose onset was confirmed. The output unit 1007 displays the disease name and the identification information of the other livestock Ai from the display 103 of the notification device 102 or transmits to the client device 230 from the I / F 509.
 実施の形態では、健康状態の過去の歩数であり、かつ、家畜Abの発病を確認したときから最も近い過去の歩数、を用いて比較するようにしたので、正確な比較を行うことができる。 In the embodiment, since the comparison is performed using the number of steps in the past in the health state and the number of steps in the past from the time when the occurrence of the livestock Ab is confirmed, an accurate comparison can be performed.
 なお、第1の時間帯および第2の時間帯としては、生活サイクルのうち、健康時と発病時とにおける歩数の変動が顕著であるという観点から、歩数に変動が少ない睡眠中や食事中を除く時間帯であることが望ましい。また、実際に発病した時点を判定することは、数時間単位で行えるものではなく、例えば半日単位や1日単位で行えるものである。 In addition, as the first time zone and the second time zone, in the life cycle, from the viewpoint that the change in the number of steps at the time of health and onset of the disease is remarkable, the number of steps is not changed during sleep or during a meal. It is desirable that the time is excluded. Further, it is not possible to determine the time of actual illness in units of several hours, but for example, in units of half a day or in units of one day.
 このような点から、受付部1001によって食事中などの時間帯を含む第1の時点が受け付けられた場合、受け付けられた第1の時点を食事中などの時間帯を除く時間に変更してもよい。例えば、食事中の時間帯を「12~13時」とし、受付部1001によって「12時15分」の第1の時点が受け付けられたとした場合、第1の時点を食事中などの時間帯を除く時間として、例えば11時15分に変更したり、13時15分に変更したりしてもよい。 From this point, when the reception unit 1001 receives a first time point including a time slot such as a meal, the received first time point may be changed to a time other than the time slot such as a meal. Good. For example, if the time zone during a meal is “12 to 13:00” and the first time point “12:15” is received by the reception unit 1001, the first time point is set to a time zone such as during a meal. For example, the time to be removed may be changed to 11:15 or may be changed to 13:15.
 また、第2記憶部1004は、時間帯ごとに家畜Abの歩数の計測結果を記憶している。取得部1005は、第2記憶部1004の中から、第1の時間帯の家畜Abの歩数の計測結果N3と、第2の時間帯の家畜Abの歩数の計測結果N4とを取得する。 Further, the second storage unit 1004 stores the measurement result of the number of steps of the livestock Ab for each time zone. The acquisition unit 1005 acquires the measurement result N3 of the number of steps of the livestock Ab in the first time zone and the measurement result N4 of the number of steps of the livestock Ab in the second time zone from the second storage unit 1004.
 算出部1008は、取得部1005によって取得された第1の時間帯の家畜Abの歩数の計測結果N3と、第2の時間帯の家畜Abの歩数の計測結果N4とに基づいて、閾値Hを算出する。算出部1008は、計測結果N3と計測結果N4との差分や比率などにより閾値を算出する。例えば、比率を用いた場合、「計測結果N3/計測結果N4」により閾値Hwを算出すればよい。なお、閾値Hwの算出手法は、病名ごとに異なってもよい。 The calculation unit 1008 calculates the threshold value H based on the measurement result N3 of the number of steps of the livestock Ab in the first time zone acquired by the acquisition unit 1005 and the measurement result N4 of the number of steps of the livestock Ab in the second time zone. calculate. The calculation unit 1008 calculates a threshold value based on the difference or ratio between the measurement result N3 and the measurement result N4. For example, when the ratio is used, the threshold value Hw may be calculated from “measurement result N3 / measurement result N4”. Note that the method for calculating the threshold value Hw may be different for each disease name.
 実施の形態では、差分を用いており、算出部1008は、計測結果N3が健康時の計測結果N4に比べて、どれだけ減少したかの値を算出する。具体的には、算出部1008は、「N4-N3」により閾値Hbを算出する。なお、閾値Hbの算出手法は、病名ごとに異なってもよい。 In the embodiment, the difference is used, and the calculation unit 1008 calculates the value of how much the measurement result N3 has decreased compared to the measurement result N4 when healthy. Specifically, the calculation unit 1008 calculates the threshold value Hb from “N4-N3”. Note that the method of calculating the threshold Hb may be different for each disease name.
 判定部1006は、第1の時間帯の他の家畜Aiの計測結果N1と、第2の時間帯の他の家畜Aiの計測結果N2と、算出した閾値Hbとに基づいて、家畜Abに発症した病気が他の家畜Aiに発症しているか否かを判定する。このような閾値Hbを用いることにより、行動パターンが似通っている放牧地内の各家畜A1~Anについて、家畜Abに発症した病気が他の家畜Aiに発症しているか否かを適切に判定することができる。また、特に、群れを成して行動する家畜A1~Anは、行動パターンがより似通っているため、家畜Abに発症した病気が同じ群れに属する他の家畜Aiに発症しているか否かを適切に判定することができる。 The determination unit 1006 develops in the livestock Ab based on the measurement result N1 of the other livestock Ai in the first time zone, the measurement result N2 of the other livestock Ai in the second time zone, and the calculated threshold value Hb. It is determined whether or not the disease has occurred in other livestock Ai. By using such a threshold Hb, for each domestic animal A1 to An in the pasture where the behavior pattern is similar, it is appropriately determined whether or not the disease that has occurred in the domestic animal Ab has occurred in the other domestic animal Ai. Can do. In particular, the domestic animals A1 to An that act as a group have more similar behavior patterns, and therefore it is appropriate to determine whether the disease that occurred in the domestic animal Ab has occurred in other domestic animals Ai belonging to the same group. Can be determined.
 また、第1記憶部1002は、病気の病名と病気の発症期間と病気の緊急度とを対応付けて記憶している。緊急度とは、早急に処置を講ずる必要があるかの度合いを表しており、度合いに応じて「大、中、小」の3段階としているが、これに限らず、2段階としてもよいし、4段階以上としてもよい。 In addition, the first storage unit 1002 stores a disease name, a disease onset period, and a disease urgency level in association with each other. The degree of urgency indicates the degree of necessity of taking action immediately. Depending on the degree, there are three levels, “large, medium, and small”. It is good also as four steps or more.
 特定部1003は、第1記憶部1002を参照して、受付部1001によって受け付けられた病名に対応する発症期間と緊急度とを特定する。例えば、受付部1001に「創傷性胃炎」が受け付けられた場合、特定部1003は、発症期間として「創傷性胃炎」に対応する「7日」と緊急度「中」を特定する。 The identifying unit 1003 refers to the first storage unit 1002 and identifies the onset period and the degree of urgency corresponding to the disease name accepted by the accepting unit 1001. For example, when “wounding gastritis” is received by the receiving unit 1001, the specifying unit 1003 specifies “7 days” corresponding to “wounding gastritis” and the urgency level “medium” as the onset period.
 出力部1007は、判定部1006によって家畜Abに発症した病気が他の家畜Aiに発症していると判定された場合、さらに、特定部1003によって特定された緊急度を関連付けて出力する。これにより、作業者に、他の家畜Aiの病気が直ぐに処置を施すべき病気か否かを明確に通知することができる。 When the determining unit 1006 determines that the disease that has occurred in the livestock Ab is occurring in another livestock Ai, the output unit 1007 further outputs the urgent level specified by the specifying unit 1003 in association with it. Thereby, it is possible to clearly notify the worker whether or not the disease of the other livestock Ai is a disease that should be treated immediately.
 第3記憶部1009は、家畜A群の各々の家畜Aを飼育している作業者の通信装置のアドレスを記憶する。第3記憶部1009は、具体的には、通信機IDと作業者IDとアドレス情報とを記憶しており、例えば、図9に示した作業者情報DB204を記憶する。通信装置は、例えば、クライアント装置230である。 3rd memory | storage part 1009 memorize | stores the address of the communication apparatus of the worker who is raising each domestic animal A of the domestic animal A group. Specifically, the third storage unit 1009 stores a communication device ID, a worker ID, and address information. For example, the third storage unit 1009 stores the worker information DB 204 illustrated in FIG. The communication device is, for example, the client device 230.
 特定部1003は、判定部1006によって家畜Abに発症した病気が他の家畜Aiに発症していると判定された場合、第3の記憶部を参照し、他の家畜Aiを飼育している作業者の通信装置のアドレスを特定する。出力部1007は、特定部1003によって特定されたアドレス宛に、病名と緊急度と他の家畜Aiの識別情報とを関連付けて送信する。これにより、家畜Aiを管理する作業者に、家畜Aiが発病した旨を通知することができる。また、早急に作業者に通知できるという観点から、通信装置は、作業者が所有する携帯電話、スマートフォンなどの移動体通信装置であることが望ましい。 The identification unit 1003 refers to the third storage unit when the determination unit 1006 determines that the disease that has occurred in the livestock Ab occurs in the other livestock Ai, and the operation of raising the other livestock Ai Specify the address of the person's communication device. The output unit 1007 transmits the disease name, the urgency level, and the identification information of the other livestock Ai in association with the address specified by the specifying unit 1003. Thereby, the operator who manages livestock Ai can be notified that livestock Ai became sick. Further, from the viewpoint of promptly notifying the worker, the communication device is preferably a mobile communication device such as a mobile phone or a smartphone owned by the worker.
(クライアント装置230に表示される画面例)
 つぎに、クライアント装置230に表示される画面例について説明する。
(Screen example displayed on client device 230)
Next, an example of a screen displayed on the client device 230 will be described.
 図11は、クライアント装置230に表示される画面例を示す説明図である。図11において、ディスプレイ508には、ユーザ名1101と、緊急度1102と、病名1103とが表示されている。ユーザ名1101は、作業者の名前である。緊急度1102は、病名1103に対応しており、「大」が表示されている。病名1103には、作業者1101が管理する家畜A1に結核が発症しているおそれがある旨が表示されている。このような、表示画面により、家畜Aiが発病した場合に、家畜Aを管理する作業者に、家畜Aiが発病した旨を通知することができ、作業者は、例えば、家畜Aiを隔離させるなど、直ぐに対策を施すことができる。 FIG. 11 is an explanatory diagram showing an example of a screen displayed on the client device 230. In FIG. 11, a user name 1101, an urgency level 1102, and a disease name 1103 are displayed on the display 508. The user name 1101 is the name of the worker. The urgency level 1102 corresponds to the disease name 1103 and “large” is displayed. The disease name 1103 indicates that there is a risk that tuberculosis may occur in the livestock A1 managed by the worker 1101. With such a display screen, when livestock Ai becomes ill, it is possible to notify the worker who manages livestock A that the livestock Ai has become ill. For example, the worker can isolate livestock Ai, etc. Measures can be taken immediately.
(中継機211の通信処理手順)
 つぎに、中継機211の通信処理手順について説明する。図12は、中継機211の通信処理手順の一例を示すフローチャートである。図12のフローチャートにおいて、中継機211は、通信機101から計測結果情報および通信機IDを受信したか否かを判断する(ステップS1201)。なお、計測結果情報および通信機IDは、例えば1時間おきに通信機101から送信される。
(Communication procedure of relay 211)
Next, a communication processing procedure of the repeater 211 will be described. FIG. 12 is a flowchart illustrating an example of a communication processing procedure of the relay 211. In the flowchart of FIG. 12, the relay device 211 determines whether or not the measurement result information and the communication device ID are received from the communication device 101 (step S1201). Note that the measurement result information and the communication device ID are transmitted from the communication device 101, for example, every other hour.
 中継機211は、計測結果情報および通信機IDを受信するまで待機する(ステップS1201:No)。計測結果情報および通信機IDを受信した場合(ステップS1201:Yes)、中継機211は、受信した計測結果情報および通信機IDを報知装置102に送信し(ステップS1202)、本フローチャートによる一連の処理を終了する。 The repeater 211 waits until receiving the measurement result information and the communication device ID (step S1201: No). When the measurement result information and the communication device ID are received (step S1201: Yes), the repeater 211 transmits the received measurement result information and the communication device ID to the notification device 102 (step S1202), and a series of processes according to this flowchart. Exit.
 このように、中継機211は、計測結果情報および通信機IDを受信した場合、これらの情報を報知装置102に送信することができる。 As described above, when the relay device 211 receives the measurement result information and the communication device ID, the relay device 211 can transmit the information to the notification device 102.
(報知装置102の報知処理手順)
 つぎに、報知装置102の報知処理手順について説明する。図13は、報知装置102の報知処理手順の一例を示すフローチャート(その1)である。図13のフローチャートにおいて、報知装置102は、まず、中継機211から、通信機101の計測結果情報および通信機IDを受信したか否かを判断する(ステップS1301)。報知装置102は、計測結果情報および通信機IDを受信するまで待機する(ステップS1301:No)。計測結果情報および通信機IDは、例えば1時間おきに中継機211から送信される。
(Notification processing procedure of the notification device 102)
Next, a notification processing procedure of the notification device 102 will be described. FIG. 13 is a flowchart (part 1) illustrating an example of a notification processing procedure of the notification device 102. In the flowchart of FIG. 13, the notification device 102 first determines whether or not the measurement result information and the communication device ID of the communication device 101 are received from the relay device 211 (step S1301). The notification device 102 stands by until receiving the measurement result information and the communication device ID (step S1301: No). The measurement result information and the communication device ID are transmitted from the repeater 211 every hour, for example.
 計測結果情報および通信機IDを受信すると(ステップS1301:Yes)、報知装置102は、計測結果情報および通信機IDを歩数情報DB202(図7参照)に記憶し(ステップS1302)、本フローチャートによる一連の処理を終了する。これにより、報知装置102は、所定時間ごとに計測結果情報および通信機IDを記憶することができる。 When the measurement result information and the communication device ID are received (step S1301: Yes), the notification device 102 stores the measurement result information and the communication device ID in the step count information DB 202 (see FIG. 7) (step S1302), and the series according to this flowchart. Terminate the process. Thereby, the alerting | reporting apparatus 102 can memorize | store measurement result information and communication apparatus ID for every predetermined time.
 図14は、報知装置102の報知処理手順の一例を示すフローチャート(その2)である。図14のフローチャートにおいて、報知装置102は、例えば、作業者から、発病した家畜Abの通信機IDと病名と発病が確認された時点とを受け付けたか否かを判断する(ステップS1401)。発病した家畜Abの通信機IDと病名と発病が確認された時点とを受け付けるまで、報知装置102は、待機する(ステップS1401:No)。作業者から、発病した家畜Abの通信機IDと病名と発病が確認された時点とを受け付けると(ステップS1401:Yes)、報知装置102は、受け付けた病名から、疾病情報DB203を参照し、発症期間を特定する(ステップS1402)。 FIG. 14 is a flowchart (part 2) illustrating an example of a notification processing procedure of the notification device 102. In the flowchart of FIG. 14, for example, the notification device 102 determines whether or not a communication device ID, a disease name, and a time point when the disease has been confirmed has been received from the worker (step S1401). The notification device 102 waits until it receives the communication device ID, disease name, and time point at which the disease was confirmed of the livestock Ab that became sick (step S1401: No). When the communication device ID, the disease name, and the time point when the disease is confirmed are received from the worker (step S1401: Yes), the notification device 102 refers to the disease information DB 203 from the received disease name and develops the disease. A period is specified (step S1402).
 そして、報知装置102は、歩数情報DB202を参照し、発病した家畜Abの、発病が確認された時間帯の計測結果N4を取得する(ステップS1403)。つぎに、報知装置102は、歩数情報DB202を参照し、発病した家畜Abの、発症期間分遡った時間帯の計測結果N3を取得する(ステップS1404)。計測結果N3は、健康な状態における歩数を示すものである。 And the alerting | reporting apparatus 102 acquires the measurement result N4 of the time slot | zone when the disease was confirmed of the livestock Ab which became sick with reference to step count information DB202 (step S1403). Next, the notification device 102 refers to the step count information DB 202 and acquires the measurement result N3 of the time zone of the affected livestock Ab that is traced back by the onset period (step S1404). The measurement result N3 indicates the number of steps in a healthy state.
 そして、報知装置102は、計測結果N3からN4を減じることにより、閾値Hbを算出する(ステップS1405)。つぎに、報知装置102は、通信機ID「G1」~「Gn」のうち「1~n」の値を示す「i」に「1」を設定する(ステップS1406)。そして、報知装置102は、通信機ID「Gi」を選択する(ステップS1407)。そして、報知装置102は、疾病判定処理を実行する(ステップS1408)。疾病判定処理の詳細については、図15を用いて後述する。 And the alerting | reporting apparatus 102 calculates threshold value Hb by subtracting N4 from measurement result N3 (step S1405). Next, the notification device 102 sets “1” to “i” indicating the values of “1 to n” among the communication device IDs “G1” to “Gn” (step S1406). Then, the notification device 102 selects the communication device ID “Gi” (step S1407). And the alerting | reporting apparatus 102 performs a disease determination process (step S1408). Details of the disease determination process will be described later with reference to FIG.
 つぎに、報知装置102は、「i」に「1」を加算するとともに(ステップS1409)、「i」が「n」より大きいか否かを判断する(ステップS1410)。「i」が「n」以下の場合(ステップS1410:No)、報知装置102は、ステップS1407の処理に移行させる。「i」が「n」より大きい場合(ステップS1410:Yes)、本フローチャートによる一連の処理を終了する。これにより、閾値Hbを算出することができるとともに、各通信機101の計測結果を選択し、対象通信機IDを疾病設定の判定対象とすることができる。 Next, the notification device 102 adds “1” to “i” (step S1409) and determines whether “i” is larger than “n” (step S1410). When “i” is equal to or less than “n” (step S1410: No), the notification device 102 causes the process to proceed to step S1407. When “i” is larger than “n” (step S1410: Yes), a series of processes according to this flowchart is terminated. As a result, the threshold value Hb can be calculated, the measurement result of each communication device 101 can be selected, and the target communication device ID can be set as a disease setting determination target.
 つぎに、図15を用いて、図14のステップS1408に示した疾病判定処理手順について説明する。図15は、報知装置102の疾病判定処理手順の一例を示すフローチャートである。図15のフローチャートにおいて、報知装置102は、歩数情報DB202を参照し、通信機ID「Gi」について、家畜Abに発病が確認された時間帯の計測結果N2を取得する(ステップS1501)。そして、報知装置102は、歩数情報DB202を参照し、通信機ID「Gi」について、発症期間分遡った時間帯の計測結果N1を取得する(ステップS1502)。計測結果N1は、健康な状態における歩数を示すものである。 Next, the disease determination processing procedure shown in step S1408 of FIG. 14 will be described with reference to FIG. FIG. 15 is a flowchart illustrating an example of the disease determination processing procedure of the notification device 102. In the flowchart of FIG. 15, the notification device 102 refers to the step count information DB 202 and acquires the measurement result N2 of the time zone in which the livestock Ab is confirmed to be illness for the communication device ID “Gi” (step S1501). Then, the notification device 102 refers to the step count information DB 202 and acquires the measurement result N1 of the time zone that goes back by the onset period for the communication device ID “Gi” (step S1502). The measurement result N1 indicates the number of steps in a healthy state.
 そして、報知装置102は、計測結果N1からN2を減じた値が閾値Hb以上であるか否かを判断する(ステップS1503)。計測結果N1からN2を減じた値が閾値Hb以上ではない場合(ステップS1503:No)、本フローチャートによる一連の処理を終了する。計測結果N1からN2を減じた値が閾値Hb以上である場合(ステップS1503:Yes)、報知装置102は、疾病情報DB203を参照し、緊急度を特定する(ステップS1504)。 And the alerting | reporting apparatus 102 judges whether the value which subtracted N2 from measurement result N1 is more than threshold value Hb (step S1503). If the value obtained by subtracting N2 from the measurement result N1 is not equal to or greater than the threshold value Hb (step S1503: No), the series of processes according to this flowchart is terminated. When the value obtained by subtracting N2 from the measurement result N1 is greater than or equal to the threshold value Hb (step S1503: Yes), the notification device 102 refers to the disease information DB 203 and identifies the degree of urgency (step S1504).
 そして、報知装置102は、作業者情報DB204を参照し、通信機IDからアドレス情報を特定する(ステップS1505)。そして、報知装置102は、クライアント装置230へ、病名情報および緊急度情報を送信し(ステップS1506)、本フローチャートによる一連の処理を終了する。 And the alerting | reporting apparatus 102 specifies address information from communication apparatus ID with reference to worker information DB204 (step S1505). And the alerting | reporting apparatus 102 transmits disease name information and urgency level information to the client apparatus 230 (step S1506), and complete | finishes a series of processes by this flowchart.
 これにより、発病した家畜Abを確認した場合、他の家畜Aiを対象に、家畜Abの病名に規定される発症期間分遡った時点と、家畜Abを確認した時点との歩数の違いから、家畜Abと同じ病気が発症している他の家畜Aiを判定することができる。これにより、他の家畜Aiの発病を早期に発見することができる。 As a result, when the affected livestock Ab is confirmed, from the difference in the number of steps between the time when the other livestock Ai is traced to the onset period defined by the disease name of the livestock Ab and the time when the livestock Ab is confirmed, Other domestic animals Ai that have the same disease as Ab can be determined. Thereby, the disease of other domestic animals Ai can be discovered at an early stage.
(クライアント装置230の報知処理手順)
 つぎに、クライアント装置230の報知処理手順について説明する。図16は、クライアント装置230の報知処理手順の一例を示すフローチャートである。図16のフローチャートにおいて、クライアント装置230は、報知装置102から病名情報および緊急度情報を受信したか否かを判断する(ステップS1601)。
(Informing process procedure of client device 230)
Next, a notification processing procedure of the client device 230 will be described. FIG. 16 is a flowchart illustrating an example of a notification processing procedure of the client device 230. In the flowchart of FIG. 16, the client device 230 determines whether disease name information and urgency level information have been received from the notification device 102 (step S1601).
 病名情報および緊急度情報を受信するまで、クライアント装置230は、待機する(ステップS1601:No)。病名情報および緊急度情報を受信した場合(ステップS1601:Yes)、クライアント装置230は、病名情報および緊急度情報を表示出力し(ステップS1602)、本フローチャートによる一連の処理を終了する。 The client device 230 waits until the disease name information and the urgency level information are received (step S1601: No). When the disease name information and the urgency level information are received (step S1601: Yes), the client device 230 displays and outputs the disease name information and the urgency level information (step S1602), and ends a series of processes according to this flowchart.
 これにより、家畜Aiに病気が発症した場合に、家畜Aiを管理する作業者に、家畜Aiが発病した旨を通知することができる。なお、例えば、緊急度に応じて、着信音やアラーム音を異ならせるようにしてもよく、このような構成にすれば、作業者が他の作業などで手が離せない場合でも、緊急度が高い場合には一旦作業を止めて、通知内容を確認することができる。 Thereby, when a disease develops in the livestock Ai, it is possible to notify the worker who manages the livestock Ai that the livestock Ai has become ill. For example, depending on the urgency level, the ring tone and the alarm sound may be made different. With this configuration, the urgency level can be increased even if the operator cannot release his / her hand for other work. If it is high, the work can be stopped and the notification content can be confirmed.
 ここで、過去に発病した家畜Aと当該家畜Aが属する群れとの歩数の平均値を比較し、発症前の感染時点における比較結果の差異により、家畜Aが病気に感染した可能性があることを検出可能にした場合の構成について、図17~図21を用いて、説明する。 Here, the average value of the number of steps between the livestock A that became sick in the past and the herd to which the livestock A belongs is compared, and the livestock A may have been infected due to the difference in the comparison results at the time of infection before the onset. The configuration when the detection of the above is made possible will be described with reference to FIGS.
(過去に感染した家畜Aとその時の群れの行動の比較の一例)
 つぎに、図17を用いて、過去に感染した家畜Aとその時の群れの行動の比較の一例について説明する。図17は、過去に感染した家畜aとその時の群れの行動の比較の一例を示す説明図である。図17において、縦軸は単位時間の歩数を示し、横軸は経過した時間を示している。実線1701は、歩数が増加する発情した家畜Aを除いた、群れ内の家畜Aの平均値を示している。歩数が、増加したり減少したりしているのは、例えば、天候や地形などによるものである。
(An example of a comparison of past livestock A and the behavior of herds at that time)
Next, with reference to FIG. 17, an example of comparison between the behavior of the livestock A infected in the past and the herd at that time will be described. FIG. 17 is an explanatory diagram showing an example of a comparison of behavior of livestock a that has been infected in the past and herd at that time. In FIG. 17, the vertical axis represents the number of steps per unit time, and the horizontal axis represents the elapsed time. A solid line 1701 indicates an average value of the livestock A in the group excluding the estrus livestock A whose number of steps increases. The number of steps is increasing or decreasing due to, for example, the weather or topography.
 一点鎖線1702は、ある家畜Aに病気W1が発症した際の歩数の変動を示している。点線1703は、ある家畜Aに病気W2発症した際の歩数の変動を示している。ここで、病気ごとの歩数の閾値の算出について説明する。まず、病気W1の発症が確認された場合、病気ごとに予め設定される潜伏期間を発症時期から逆算した時点を感染ポイントして特定することができる。そして、感染ポイントにおける歩数と、平均値との差分に、例えば1.1~1.2倍の安全率を乗じた値を病気W1の閾値とする。病気W2についても、同様に閾値を算出する。このように算出された病気ごとの閾値は、図20に示す感染可能性DBに記憶される。 The alternate long and short dash line 1702 indicates the change in the number of steps when disease W1 develops in a certain domestic animal A. A dotted line 1703 indicates a change in the number of steps when disease W2 develops in a certain domestic animal A. Here, calculation of the threshold of the number of steps for each disease will be described. First, when the onset of the disease W1 is confirmed, it is possible to specify the time when the latent period set in advance for each disease is calculated backward from the onset time as an infection point. Then, a value obtained by multiplying the difference between the number of steps at the infection point and the average value by a safety factor of 1.1 to 1.2 times, for example, is set as the threshold value of the disease W1. The threshold value is similarly calculated for the disease W2. The threshold value for each disease calculated in this way is stored in the infection possibility DB shown in FIG.
(現在の家畜と当該家畜が属する群れの行動の比較の一例)
 図18は、現在の家畜Aと当該家畜Aが属する群れの行動の比較の一例を示す説明図である。図18において、縦軸は単位時間の歩数を示し、横軸は経過した時間を示している。実線1801は、歩数が増加する発情した家畜Aを除いた、群れ内の家畜Aの平均値を示している。点線1802は、判定対象となる家畜Aの歩数の変動を示している。判定対象となる家畜Aの歩数が、平均値との差が、例えば病気W2の閾値以上となったときに、家畜Aは、病気W2に感染したものと判定することができる。
(Example of comparison of behavior of current livestock and herd to which the livestock belongs)
FIG. 18 is an explanatory diagram showing an example of a comparison of the behavior of the current livestock A and the group to which the livestock A belongs. In FIG. 18, the vertical axis indicates the number of steps per unit time, and the horizontal axis indicates the elapsed time. A solid line 1801 indicates the average value of the livestock A in the group excluding the estrus livestock A whose number of steps increases. A dotted line 1802 indicates a change in the number of steps of the livestock A to be determined. When the difference between the number of steps of the livestock A to be determined and the average value is equal to or greater than the threshold value of the disease W2, for example, the livestock A can be determined to be infected with the disease W2.
(報知装置102の閾値設定処理手順)
 図19は、報知装置102がおこなう閾値設定処理手順の一例を示すフローチャートである。図19のフローチャートにおいて、報知装置102は、感染した家畜が確認され、例えば、作業者から、感染した家畜が存在するか否かの入力を受け付けるまで待機する(ステップS1901:No)。感染した家畜が存在する場合(ステップS1901:Yes)、報知装置102は、病気を特定する(ステップS1902)。病気の特定は、例えば、作業者の操作入力によって基づいて行われる。
(Threshold setting procedure of the notification device 102)
FIG. 19 is a flowchart illustrating an example of a threshold setting process procedure performed by the notification device 102. In the flowchart of FIG. 19, the notification device 102 waits until an infected livestock is confirmed and, for example, receives an input from an operator as to whether or not an infected livestock exists (step S1901: No). When there is an infected livestock (step S1901: Yes), the notification device 102 identifies a disease (step S1902). The identification of the disease is performed based on, for example, an operation input by the operator.
 そして、報知装置102は、予め設定される不図示の潜伏期間DBを用いて、病気の潜伏期間を参照する(ステップS1903)。そして、報知装置102は、潜伏期間分の過去の歩数情報を取得する(ステップS1904)。さらに、報知装置102は、平均値から、判定対象となる個体の歩数の値を減じたαを算出する(ステップS1905)。そして、報知装置102は、αに1.2倍の安全率を乗じたものを閾値とするとともに(ステップS1906)、感染可能性DB2000に記憶し(ステップS1907)、本フローチャートによる一連の処理を終了させる。 Then, the notification device 102 refers to the illness latency period using a latent period DB (not shown) set in advance (step S1903). And the alerting | reporting apparatus 102 acquires the past step count information for a latent period (step S1904). Furthermore, the notification device 102 calculates α by subtracting the value of the number of steps of the individual to be determined from the average value (step S1905). The notification apparatus 102 sets a value obtained by multiplying α by a safety factor of 1.2 times as a threshold (step S1906), stores the threshold in the infection possibility DB 2000 (step S1907), and ends a series of processes according to this flowchart. Let
(感染可能性DB2001の記憶内容の一例)
 つぎに、図20を用いて、報知装置102が記憶する感染可能性DB2001の記憶内容の一例について説明する。ここで、図20は、感染可能性DB2001の記憶内容の一例を示す説明図である。図20において、感染可能性DB2001は、病名フィールドと、感染可能性の閾値フィールドとを有する。これらの各フィールドに情報を設定することにより、感染可能性DB2001には、病名と感染可能性の閾値との組み合わせごとの閾値情報2000-1~2000-mがレコードとして記憶される。
(An example of the stored contents of the infection possibility DB 2001)
Next, an example of the stored contents of the infection possibility DB 2001 stored in the notification device 102 will be described with reference to FIG. Here, FIG. 20 is an explanatory diagram showing an example of the contents stored in the infection possibility DB 2001. In FIG. 20, the infectivity possibility DB 2001 includes a disease name field and an infectivity possibility threshold field. By setting information in each of these fields, the infection possibility DB 2001 stores threshold information 2000-1 to 2000-m for each combination of disease name and infection possibility threshold as a record.
 病名フィールは、例えば、W1~Wmの病名が記憶されている。感染可能性の閾値フィールドは、図19の閾値設定処理において算出された閾値が記憶されている。例えば、図20において、閾値情報2000-1は、閾値がW1以上となった場合に、病気W1に感染した可能性があることを表している。 In the disease name field, for example, disease names of W1 to Wm are stored. The threshold value calculated in the threshold setting process of FIG. 19 is stored in the threshold field for the possibility of infection. For example, in FIG. 20, the threshold information 2000-1 indicates that there is a possibility that the patient has been infected with the disease W1 when the threshold is equal to or greater than W1.
(報知装置102の病気可能性判定処理手順)
 図21は、報知装置102がおこなう病気可能性判定処理手順の一例を示すフローチャートである。図21のフローチャートにおいて、報知装置102は、平均値から判定対象となる個体の歩数の値を減じた絶対値が閾値以上であるか否かを判断する(ステップS2101)。閾値未満である場合(ステップS2101:No)、報知装置102は、個体の数を示す「i」に「1」を設定する(ステップS2102)。そして、報知装置102は、全個体数Xとiが同数であるか否かを判断する(ステップS2103)。
(Procedure for determining the possibility of illness of the notification device 102)
FIG. 21 is a flowchart illustrating an example of the illness possibility determination processing procedure performed by the notification device 102. In the flowchart of FIG. 21, the notification device 102 determines whether or not the absolute value obtained by subtracting the value of the number of steps of the individual to be determined from the average value is equal to or greater than the threshold (step S2101). When it is less than the threshold (step S2101: No), the notification device 102 sets “1” to “i” indicating the number of individuals (step S2102). Then, the notification device 102 determines whether or not the total number of individuals X and i are the same number (step S2103).
 全個体数Xとiが同数である場合(ステップS2103:Yes)、報知装置102は、本フローチャートによる一連の処理を終了させる。全個体数Xとiが同数ではない場合(ステップS2103:No)、報知装置102は、ステップS2101に移行させる。ステップS2101において、平均値から判定対象となる個体の歩数の値を減じた絶対値が閾値以上である場合(ステップS2101:Yes)、報知装置102は、判定対象となる個体の発情の兆候の有無を判定する(ステップS2104)。発情の兆候の有無は、例えば、歩数から判定することができ、具体的には、歩数が所定値以上の場合に発情しているものと判定することができる。 When the total number of individuals X and i are the same number (step S2103: Yes), the notification device 102 ends the series of processes according to this flowchart. When the total number of individuals X and i are not the same number (step S2103: No), the notification device 102 proceeds to step S2101. In step S2101, when the absolute value obtained by subtracting the value of the number of steps of the individual to be determined from the average value is equal to or larger than the threshold (step S2101: Yes), the notification device 102 determines whether there is an estrus sign of the individual to be determined. Is determined (step S2104). The presence or absence of the sign of estrus can be determined from the number of steps, for example, and specifically, it can be determined that the estrus is present when the number of steps is equal to or greater than a predetermined value.
 判定対象となる個体が発情している場合(ステップS2104:Yes)、報知装置102は、本フローチャートによる一連の処理を終了させる。判定対象となる個体が発情していない場合(ステップS2104:No)、平均値から、判定対象となる個体の歩数の値を減じたαを算出する(ステップS2105)。そして、図20の感染可能性DB2001を参照して、αがv3を超えるか否かを判定する(ステップS2106)。αがv3以下の場合(ステップS2106:No)、報知装置102は、本フローチャートによる一連の処理を終了させる。 When the individual to be determined is in estrus (step S2104: Yes), the notification device 102 ends the series of processes according to this flowchart. If the individual to be determined is not in estrus (step S2104: No), α is calculated by subtracting the value of the number of steps of the individual to be determined from the average value (step S2105). Then, with reference to the infection possibility DB 2001 of FIG. 20, it is determined whether α exceeds v3 (step S2106). When α is equal to or less than v3 (step S2106: No), the notification device 102 ends the series of processes according to this flowchart.
 αがv3を超える場合(ステップS2106:Yes)、報知装置102は、病気W3の可能性があると判定し(ステップS2107)、ステップS2114の処理に移行させる。αがv2以下の場合(ステップS2108:No)、報知装置102は、本フローチャートによる一連の処理を終了させる。αがv2を超える場合(ステップS2108:Yes)、報知装置102は、病気W2の可能性があると判定し(ステップS2109)、ステップS2114の処理に移行させる。 When α exceeds v3 (step S2106: Yes), the notification device 102 determines that there is a possibility of illness W3 (step S2107), and shifts to the processing of step S2114. When α is equal to or smaller than v2 (step S2108: No), the notification device 102 ends the series of processes according to this flowchart. When α exceeds v2 (step S2108: Yes), the notification device 102 determines that there is a possibility of illness W2 (step S2109), and shifts to the processing of step S2114.
 αが-v1以上の場合(ステップS2110:No)、報知装置102は、本フローチャートによる一連の処理を終了させる。αが-v1未満の場合(ステップS2110:Yes)、報知装置102は、病気W1の可能性があると判定し(ステップS2111)、ステップS2114の処理に移行させる。αが-vm以上の場合(ステップS2112:No)、報知装置102は、本フローチャートによる一連の処理を終了させる。αが-vm未満の場合(ステップS2112:Yes)、報知装置102は、病気Wmの可能性があると判定し(ステップS2113)、病気の可能性がある旨の警告をおこない(ステップS2114)、本フローチャートによる一連の処理を終了させる。 If α is equal to or greater than −v1 (step S2110: No), the notification device 102 ends the series of processes according to this flowchart. When α is less than −v1 (step S2110: Yes), the notification device 102 determines that there is a possibility of illness W1 (step S2111), and shifts to the processing of step S2114. When α is equal to or greater than −vm (step S2112: No), the notification device 102 ends a series of processes according to the flowchart. If α is less than −vm (step S2112: Yes), the notification device 102 determines that there is a possibility of illness Wm (step S2113), and issues a warning that there is a possibility of illness (step S2114). A series of processing by this flowchart is complete | finished.
 上述した処理により、病気の可能性がある家畜Aを通知することができ、病気を早期に発見することができ、他の家畜Aへの感染の予防を行うことができる。 By the above-described processing, it is possible to notify the livestock A that may be ill, detect the disease early, and prevent infection of other livestock A.
 以上説明したように、実施の形態にかかる報知装置102によれば、家畜Abの確認時に、他の家畜Aiの現在の歩数と現在から同病種の発症期間分遡った時の歩数との差分が、家畜Abと同様の値となった場合に他の家畜Aiの発病を判断することができる。これにより、発病した家畜Abと同病種の病気が発症している他の家畜Aiを発見することができる。 As described above, according to the notification device 102 according to the embodiment, when the livestock Ab is confirmed, the difference between the current number of steps of the other livestock Ai and the number of steps when the current disease type is traced back from the present onset period. However, when the value is the same as that of the domestic animal Ab, it is possible to determine the onset of another domestic animal Ai. Thereby, the other domestic animal Ai in which the disease of the same disease species as the diseased domestic animal Ab has developed can be found.
 また、実施の形態にかかる報知装置102によれば、発病した家畜Abを確認した際の発病した家畜Abの計測結果N3と、家畜Abの病名に規定される発症期間分遡った際の家畜Abの計測結果N4とに基づいて、閾値Hを算出することができる。つまり、同じ放牧地内の家畜Ab,Aiの行動パターンが似通っているという性質を利用することができる。すなわち、家畜Abと家畜Aiの歩数変動が似通うことから、家畜Aiが発病しているか否かの判定の精度を高めることができる。 Further, according to the notification device 102 according to the embodiment, the measurement result N3 of the diseased domestic animal Ab when the diseased domestic animal Ab is confirmed, and the domestic animal Ab when going back by the onset period defined in the disease name of the domestic animal Ab. The threshold value H can be calculated based on the measurement result N4. That is, it is possible to use the property that the behavior patterns of the livestock Ab and Ai in the same pasture are similar. That is, since the changes in the number of steps of the livestock Ab and the livestock Ai are similar, it is possible to improve the accuracy of determining whether or not the livestock Ai is sick.
 また、群れを成して行動する家畜Ab,A1~Anは、行動パターンがより似通うため。そのため、家畜Abに発症した病気が同じ群れに属する他の家畜Aiに発症しているか否の判定では、判定の精度をより高めることができる。 Also, the behavior patterns of livestock Ab, A1 to An that act in groups are more similar. Therefore, in the determination of whether or not a disease that has occurred in the livestock Ab has occurred in another livestock Ai belonging to the same group, the accuracy of the determination can be further increased.
 また、実施の形態にかかる報知装置102によれば、家畜Abに発症した病気が他の家畜Aiに発症していると判定した場合、緊急度を関連付けて出力する。これにより、作業者は、他の家畜Aiの病気の緊急度を知ることができる。したがって、作業者は直ぐに処置を施す必要があるのか否かを検討することができるとともに、発病した家畜Aの治療や介護、他の家畜Aへの感染の予防など対策を講じることができ、農場Fの損失を抑えることができる。 Further, according to the notification device 102 according to the embodiment, when it is determined that a disease that has occurred in the livestock Ab has occurred in the other livestock Ai, the urgency is associated and output. Thereby, the operator can know the urgency of the disease of the other livestock Ai. Therefore, the worker can examine whether or not it is necessary to take immediate action, and can take measures such as treatment and care of the livestock A, prevention of infection to other livestock A, F loss can be suppressed.
 また、実施の形態にかかる報知装置102によれば、通信機IDに対応付けられるアドレス宛に、病名と緊急度と他の家畜Aiの識別情報とを関連付けて送信することができる。これにより、共同経営などにより家畜A1~Anを管理する作業者がそれぞれ異なる場合でも、家畜Aiを管理する作業者にのみ発病した旨を通知することができる。この通知により、作業者は、家畜Aiの病気の緊急度を知ることができる。 In addition, according to the notification device 102 according to the embodiment, a disease name, an urgency level, and other livestock Ai identification information can be associated and transmitted to an address associated with a communication device ID. Thereby, even if the workers managing the livestock A1 to An are different due to joint management or the like, it is possible to notify only the worker who manages the livestock Ai that the disease has occurred. By this notification, the worker can know the urgency of the disease of the livestock Ai.
 なお、本実施の形態で説明した報知方法は、予め用意されたプログラムをパーソナル・コンピュータやワークステーション等のコンピュータで実行することにより実現することができる。本報知プログラムは、ハードディスク、フレキシブルディスク、CD-ROM、MO、DVD等のコンピュータで読み取り可能な記録媒体に記録され、コンピュータによって記録媒体から読み出されることによって実行される。また、本報知プログラムは、インターネット等のネットワークを介して配布してもよい。 Note that the notification method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The notification program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. Moreover, you may distribute this alerting | reporting program via networks, such as the internet.
 101 通信機
 102 報知装置
 211 中継機
 202 歩数情報DB
 203 疾病情報DB
 204 作業者情報DB
 230 クライアント装置
 1001 受付部
 1002 第1記憶部
 1003 特定部
 1004 第2記憶部
 1005 取得部
 1006 判定部
 1007 出力部
 1008 算出部
 1009 第3記憶部
 2001 感染可能性DB
101 Communication Device 102 Notification Device 211 Relay Device 202 Step Count Information DB
203 Disease Information DB
204 Worker information DB
230 Client Device 1001 Reception Unit 1002 First Storage Unit 1003 Identification Unit 1004 Second Storage Unit 1005 Acquisition Unit 1006 Determination Unit 1007 Output Unit 1008 Calculation Unit 1009 Third Storage Unit 2001 Infectivity DB

Claims (6)

  1.  コンピュータが、
     家畜群のいずれかの家畜が発症していると確認された第1の時点と、前記家畜に発症している病気の病名とを受け付け、
     病気の病名と前記病気の発症期間とを対応付けて記憶する第1の記憶部を参照して、受け付けた前記家畜に発症している病気の病名に対応する発症期間を特定し、
     各日の時間帯ごとに、前記家畜群のうちの前記家畜とは異なる他の家畜の歩数の計測結果を記憶する第2の記憶部の中から、前記第1の時点を含む第1の時間帯の前記他の家畜の計測結果と、前記第1の時点から少なくとも特定した前記発症期間の時間分遡った第2の時点を含む第2の時間帯の前記他の家畜の計測結果とを取得し、
     取得した前記第1の時間帯の前記他の家畜の計測結果と、前記第2の時間帯の前記他の家畜の計測結果と、前記家畜に発症している病気に固有の歩数に関する閾値とに基づいて、前記家畜に発症している病気が前記他の家畜に発症しているか否かを判定し、
     前記家畜に発症している病気が前記他の家畜に発症していると判定した場合、前記家畜に発症している病気の病名と前記他の家畜の識別情報とを関連付けて出力する、
     処理を実行することを特徴とする報知方法。
    Computer
    Accepting a first time point when any livestock in the livestock group is confirmed to have developed, and a disease name of the disease occurring in the livestock,
    With reference to the first storage unit that stores the disease name of the disease and the disease onset period in association with each other, the onset period corresponding to the disease name of the disease onset in the received domestic animal is identified,
    The first time including the first time point from the second storage unit that stores the measurement result of the number of steps of other livestock different from the livestock in the livestock group for each time zone. The measurement result of the other livestock in the belt and the measurement result of the other livestock in the second time zone including the second time point that is at least the time of the onset period specified from the first time point are acquired. And
    The acquired measurement result of the other livestock in the first time zone, the measurement result of the other livestock in the second time zone, and a threshold value relating to the number of steps unique to the disease occurring in the livestock. On the basis of whether or not a disease occurring in the livestock is occurring in the other livestock,
    When it is determined that the disease occurring in the domestic animal has occurred in the other domestic animal, the disease name of the disease occurring in the domestic animal and the identification information of the other domestic animal are output in association with each other.
    A notification method characterized by executing processing.
  2.  前記第2の記憶部は、さらに、前記時間帯ごとに前記家畜の歩数の計測結果を記憶しており、
     前記コンピュータが、
     前記第2の記憶部の中から、前記第1の時間帯の前記家畜の歩数の計測結果と、前記第2の時間帯の前記家畜の歩数の計測結果とを取得し、
     取得した前記第1の時間帯の前記家畜の歩数の計測結果と、前記第2の時間帯の前記家畜の歩数の計測結果とに基づいて、前記閾値を算出する、処理を実行し、
     前記判定する処理は、
     前記第1の時間帯の前記他の家畜の計測結果と、前記第2の時間帯の前記他の家畜の計測結果と、算出した前記閾値とに基づいて、前記家畜に発症している病気が前記他の家畜に発症しているか否かを判定することを特徴とする請求項1に記載の報知方法。
    The second storage unit further stores a measurement result of the number of steps of the livestock for each time period,
    The computer is
    From the second storage unit, the measurement result of the number of steps of the livestock in the first time zone, and the measurement result of the number of steps of the livestock in the second time zone,
    Based on the obtained measurement result of the number of steps of the livestock in the first time zone and the measurement result of the number of steps of the livestock in the second time zone, the threshold value is calculated, and a process is executed.
    The determination process is as follows.
    Based on the measurement result of the other livestock in the first time zone, the measurement result of the other livestock in the second time zone, and the calculated threshold value, a disease occurring in the livestock is The notification method according to claim 1, wherein it is determined whether or not the other livestock is affected.
  3.  前記第1の記憶部は、病気の病名と前記病気の発症期間と前記病気の緊急度とを対応付けて記憶しており、
     前記特定する処理は、
     前記第1の記憶部を参照して、受け付けた前記家畜に発症している病気の病名に対応する発症期間と緊急度とを特定し、
     前記出力する処理は、
     前記家畜に発症している病気が前記他の家畜に発症していると判定した場合、さらに、特定した前記緊急度を関連付けて出力することを特徴とする請求項1または2に記載の報知方法。
    The first storage unit stores a disease name, a disease onset period, and an urgency level of the disease in association with each other,
    The process to specify is
    With reference to the first storage unit, identify the onset period and the urgency corresponding to the disease name of the disease that has occurred in the received domestic animal,
    The output process is as follows:
    3. The notification method according to claim 1, wherein, when it is determined that a disease occurring in the domestic animal is occurring in the other domestic animal, the specified emergency level is further output in association with the information. .
  4.  前記コンピュータが、
     前記家畜に発症している病気が前記他の家畜に発症していると判定した場合、前記家畜群の各々の家畜を飼育している作業者の通信装置のアドレスを記憶する第3の記憶部を参照して、前記他の家畜を飼育している作業者の通信装置のアドレスを特定する処理を実行し、
     前記出力する処理は、
     特定した前記アドレス宛に、前記家畜に発症している病気の病名と、特定した前記緊急度と、前記他の家畜の識別情報とを関連付けて送信することを特徴とする請求項3に記載の報知方法。
    The computer is
    A third storage unit that stores an address of a communication device of an operator who raises each livestock in the livestock group when it is determined that a disease occurring in the livestock is occurring in the other livestock Referring to the above, execute the process of specifying the address of the communication device of the worker who is raising the other livestock,
    The output process is as follows:
    4. The disease name of the disease occurring in the livestock, the identified urgency level, and identification information of the other livestock are transmitted in association with the identified address. Notification method.
  5.  コンピュータに、
     家畜群のいずれかの家畜が発症していると確認された第1の時点と、前記家畜に発症している病気の病名とを受け付け、
     病気の病名と前記病気の発症期間とを対応付けて記憶する第1の記憶部を参照して、受け付けた前記家畜に発症している病気の病名に対応する発症期間を特定し、
     各日の時間帯ごとに、前記家畜群のうちの前記家畜とは異なる他の家畜の歩数の計測結果を記憶する第2の記憶部の中から、前記第1の時点を含む第1の時間帯の前記他の家畜の計測結果と、前記第1の時点から少なくとも特定した前記発症期間の時間分遡った第2の時点を含む第2の時間帯の前記他の家畜の計測結果とを取得し、
     取得した前記第1の時間帯の前記他の家畜の計測結果と、前記第2の時間帯の前記他の家畜の計測結果と、前記家畜に発症している病気に固有の歩数に関する閾値とに基づいて、前記家畜に発症している病気が前記他の家畜に発症しているか否かを判定し、
     前記家畜に発症している病気が前記他の家畜に発症していると判定した場合、前記家畜に発症している病気の病名と前記他の家畜の識別情報とを関連付けて出力する、
     処理を実行させることを特徴とする報知プログラム。
    On the computer,
    Accepting a first time when any livestock in the livestock group is confirmed to have developed, and a disease name of the disease occurring in the livestock,
    With reference to the first storage unit that stores the disease name of the disease and the disease onset period in association with each other, the onset period corresponding to the disease name of the disease onset in the received domestic animal is identified,
    The first time including the first time point from the second storage unit that stores the measurement result of the number of steps of other livestock different from the livestock in the livestock group for each time zone. The measurement result of the other livestock in the belt and the measurement result of the other livestock in the second time zone including the second time point that is at least the time of the onset period specified from the first time point are acquired. And
    The acquired measurement result of the other livestock in the first time zone, the measurement result of the other livestock in the second time zone, and a threshold value relating to the number of steps unique to the disease occurring in the livestock. Based on whether the disease occurring in the livestock is developing in the other livestock,
    When it is determined that a disease occurring in the domestic animal has occurred in the other domestic animal, the disease name of the disease occurring in the domestic animal and the identification information of the other domestic animal are output in association with each other.
    A notification program characterized by causing a process to be executed.
  6.  家畜群のいずれかの家畜が発症していると確認された第1の時点と、前記家畜に発症している病気の病名とを受け付ける受付部と、
     病気の病名と前記病気の発症期間とを対応付けて記憶する第1の記憶部を参照して、前記受付部によって受け付けられた前記家畜に発症している病名に対応する発症期間を特定する特定部と、
     各日の時間帯ごとに、前記家畜群のうちの前記家畜とは異なる他の家畜の歩数の計測結果を記憶する第2の記憶部の中から、前記第1の時点を含む第1の時間帯の前記他の家畜の計測結果と、前記第1の時点から少なくとも前記特定部によって特定された前記発症期間の時間分遡った第2の時点を含む第2の時間帯の前記他の家畜の計測結果とを取得する取得部と、
     前記取得部によって取得された前記第1の時間帯の前記他の家畜の計測結果と、前記第2の時間帯の前記他の家畜の計測結果と、前記家畜に発症している病気に固有の歩数に関する閾値とに基づいて、前記家畜に発症している病気が前記他の家畜に発症しているか否かを判定する判定部と、
     前記判定部によって前記家畜に発症している病気が前記他の家畜に発症していると判定された場合、前記家畜に発症している病名と前記他の家畜の識別情報とを関連付けて出力する出力部と、
     を有することを特徴とする報知装置。
    A reception unit that receives a first time when it is confirmed that any livestock in the livestock group has developed, and a disease name of the disease that develops in the livestock,
    A specification that identifies the onset period corresponding to the name of the disease occurring in the domestic animal received by the reception unit with reference to the first storage unit that stores the disease name of the disease and the onset period of the disease in association with each other And
    The first time including the first time point from the second storage unit that stores the measurement result of the number of steps of other livestock different from the livestock in the livestock group for each time zone. The measurement result of the other livestock in the belt and the other livestock in the second time zone including the second time point that is at least the time of the onset period specified by the specifying unit from the first time point. An acquisition unit for acquiring measurement results;
    The measurement result of the other livestock in the first time zone acquired by the acquisition unit, the measurement result of the other livestock in the second time zone, and a disease specific to the disease occurring in the livestock A determination unit for determining whether a disease occurring in the livestock is occurring in the other livestock based on a threshold relating to the number of steps; and
    When it is determined by the determination unit that the disease occurring in the livestock is occurring in the other livestock, the disease name occurring in the livestock and the identification information of the other livestock are output in association with each other An output section;
    A notification device comprising:
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